XI Recenseamento Geral do Brasil. Censo Demográfico 2000.
DDI_BRA_2000_PHC_v01_M_v03_A_IPUMS
Minnesota Population Center
Integrated Public Use Microdata Series (IPUMS) International
Minnesota Population Center
2016-04-25
Nesstar Publisher
Organization for Economic Co-operation and Development, Development Co-operation Directorate
JADE#:60525;MEHLB(2010)12
XI Recenseamento Geral do Brasil. Censo Demográfico 2000 - IPUMS Subset
PHC 2000 (IPUMS Harmonized Subset)
BRA_2000_PHC_v01_M_v03_A_IPUMS
Instituto Brasileiro de Geografia e Estatística
Minnesota Population Center
(c) Copyright 2000, Instituto Brasileiro de Geografia e Estatística and Minnesota Population Center
Nesstar Publisher
Instituto Brasileiro de Geografia e Estatística
Population and Housing Census [hh/popcen]
here. Also, approximately 100 integrated variables were renamed. Affected variables with their current and previous names are listed here. Geography variable also underwent wholesale renaming.
In this update, IPUMS added 19 new samples for Armenia, Austria, Costa Rica, Ethiopia, France, Ghana, Mozambique, Paraguay, Portugal, Puerto Rico, South Africa, and Spain. Ethiopia, Mozambique, and Paraguay were newly added countries to IPUMS. Samples for other countries extend pre-existing series for those countries.]]>
Technical Household Variables -- HOUSEHOLD
Group Quarters Variables -- HOUSEHOLD
Geography: Global Variables -- HOUSEHOLD
Geography: A-L Variables -- HOUSEHOLD
Household Economic Variables -- HOUSEHOLD
Utilities Variables -- HOUSEHOLD
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Dwelling Characteristics Variables -- HOUSEHOLD
Constructed Household Variables -- HOUSEHOLD
Technical Person Variables -- PERSON
Constructed Family Interrelationship Variables -- PERSON
Demographic Variables -- PERSON
Fertility and Mortality Variables -- PERSON
Nativity and Birthplace Variables -- PERSON
Ethnicity and Language Variables -- PERSON
Education Variables -- PERSON
Work Variables -- PERSON
Income Variables -- PERSON
Migration Variables -- PERSON
Disability Variables -- PERSON
Household Imputation Flags Variables -- HOUSEHOLD
Other Person Variables -- PERSON
Person Imputation Flags Variables -- PERSON
Work: Occupation Variables -- PERSON
Work: Industry Variables -- PERSON
Brazil
National coverage
Municipality and metropolitan regions
Census/enumeration data [cen]
Face-to-face [f2f]
De jure, CENSUS DAY: August 1st, 2000
COVERAGE: No official estimates, UNDERCOUNT: No official estimates
IPUMS International
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
BRA2000-H-H.NSDstat
Household records
0
117
Nesstar 200801
Minnesota Population Center
Version 6.4, IPUMS sample
BRA2000-P-H.NSDstat
Person records
0
225
Nesstar 200801
Minnesota Population Center
Version 6.4, IPUMS sample
Record type
0
0
Technical Household Variables -- HOUSEHOLD
Year
0
0
YEAR gives the year in which the census was taken.
1960
1960
1962
1962
1963
1963
1964
1964
1966
1966
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
2001
2001
2002
2002
2003
2003
2004
2004
2005
2005
2006
2006
2007
2007
2008
2008
2009
2009
2010
2010
2011
2011
Technical Household Variables -- HOUSEHOLD
IPUMS sample identifier
0
0
32197001
Argentina 1970
32199101
Argentina 1991
32200101
Argentina 2001
32201001
Argentina 2010
32219801
Argentina 1980
40197101
Austria 1971
40198101
Austria 1981
40199101
Austria 1991
40200101
Austria 2001
40201101
Austria 2011
50199101
Bangladesh 1991
50200101
Bangladesh 2001
50201101
Bangladesh 2011
51200101
Armenia 2001
51201101
Armenia 2011
68197601
Bolivia 1976
68199201
Bolivia 1992
68200101
Bolivia 2001
76196001
Brazil 1960
76197001
Brazil 1970
76198001
Brazil 1980
76199101
Brazil 1991
76200001
Brazil 2000
76201001
Brazil 2010
112199901
Belarus 1999
116199801
Cambodia 1998
116200801
Cambodia 2008
120197601
Cameroon 1976
120198701
Cameroon 1987
120200501
Cameroon 2005
124197101
Canada 1971
124198101
Canada 1981
124199101
Canada 1991
124200101
Canada 2001
152196001
Chile 1960
152197001
Chile 1970
152198201
Chile 1982
152199201
Chile 1992
152200201
Chile 2002
156198201
China 1982
156199001
China 1990
170196401
Colombia 1964
170197301
Colombia 1973
170198501
Colombia 1985
170199301
Colombia 1993
170200501
Colombia 2005
188196301
Costa Rica 1963
188197301
Costa Rica 1973
188198401
Costa Rica 1984
188200001
Costa Rica 2000
188201101
Costa Rica 2011
192200201
Cuba 2002
214196001
Dominican Republic 1960
214197001
Dominican Republic 1970
214198101
Dominican Republic 1981
214200201
Dominican Republic 2002
214201001
Dominican Republic 2010
218196201
Ecuador 1962
218197401
Ecuador 1974
218198201
Ecuador 1982
218199001
Ecuador 1990
218200101
Ecuador 2001
218201001
Ecuador 2010
222199201
El Salvador 1992
222200701
El Salvador 2007
231198401
Ethiopia 1984
231199401
Ethiopia 1994
231200701
Ethiopia 2007
242196601
Fiji 1966
242197601
Fiji 1976
242198601
Fiji 1986
242199601
Fiji 1996
242200701
Fiji 2007
250196201
France 1962
250196801
France 1968
250197501
France 1975
250198201
France 1982
250199001
France 1990
250199901
France 1999
250200601
France 2006
250201101
France 2011
275199701
Palestine 1997
275200701
Palestine 2007
276197001
Germany 1970 (West)
276197101
Germany 1971 (East)
276198101
Germany 1981 (East)
276198701
Germany 1987 (West)
288198401
Ghana 1984
288200001
Ghana 2000
288201001
Ghana 2010
300197101
Greece 1971
300198101
Greece 1981
300199101
Greece 1991
300200101
Greece 2001
324198301
Guinea 1983
324199601
Guinea 1996
332197101
Haiti 1971
332198201
Haiti 1982
332200301
Haiti 2003
348197001
Hungary 1970
348198001
Hungary 1980
348199001
Hungary 1990
348200101
Hungary 2001
356198341
India 1983
356198741
India 1987
356199341
India 1993
356199941
India 1999
356200441
India 2004
360197101
Indonesia 1971
360197601
Indonesia 1976
360198001
Indonesia 1980
360198501
Indonesia 1985
360199001
Indonesia 1990
360199501
Indonesia 1995
360200001
Indonesia 2000
360200501
Indonesia 2005
360201001
Indonesia 2010
364200601
Iran 2006
368199701
Iraq 1997
372197101
Ireland 1971
372197901
Ireland 1979
372198101
Ireland 1981
372198601
Ireland 1986
372199101
Ireland 1991
372199601
Ireland 1996
372200201
Ireland 2002
372200601
Ireland 2006
372201101
Ireland 2011
376197201
Israel 1972
376198301
Israel 1983
376199501
Israel 1995
380200101
Italy 2001
388198201
Jamaica 1982
388199101
Jamaica 1991
388200101
Jamaica 2001
400200401
Jordan 2004
404196901
Kenya 1969
404197901
Kenya 1979
404198901
Kenya 1989
404199901
Kenya 1999
404200901
Kenya 2009
417199901
Kyrgyz Republic 1999
417200901
Kyrgyz Republic 2009
430197401
Liberia 1974
430200801
Liberia 2008
454198701
Malawi 1987
454199801
Malawi 1998
454200801
Malawi 2008
458197001
Malaysia 1970
458198001
Malaysia 1980
458199101
Malaysia 1991
458200001
Malaysia 2000
466198701
Mali 1987
466199801
Mali 1998
466200901
Mali 2009
484196001
Mexico 1960
484197001
Mexico 1970
484199001
Mexico 1990
484199501
Mexico 1995
484200001
Mexico 2000
484200501
Mexico 2005
484201001
Mexico 2010
496198901
Mongolia 1989
496200001
Mongolia 2000
504198201
Morocco 1982
504199401
Morocco 1994
504200401
Morocco 2004
508199701
Mozambique 1997
508200701
Mozambique 2007
524200101
Nepal 2001
528196001
Netherlands 1960
528197101
Netherlands 1971
528200101
Netherlands 2001
558197101
Nicaragua 1971
558199501
Nicaragua 1995
558200501
Nicaragua 2005
566200621
Nigeria 2006
566200721
Nigeria 2007
566200821
Nigeria 2008
566200921
Nigeria 2009
566201021
Nigeria 2010
586197301
Pakistan 1973
586198101
Pakistan 1981
586199801
Pakistan 1998
591196001
Panama 1960
591197001
Panama 1970
591198001
Panama 1980
591199001
Panama 1990
591200001
Panama 2000
591201001
Panama 2010
600196201
Paraguay 1962
600197201
Paraguay 1972
600198201
Paraguay 1982
600199201
Paraguay 1992
600200201
Paraguay 2002
604199301
Peru 1993
604200701
Peru 2007
608199001
Philippines 1990
608199501
Philippines 1995
608200001
Philippines 2000
620198101
Portugal 1981
620199101
Portugal 1991
620200101
Portugal 2001
620201101
Portugal 2011
630197001
Puerto Rico 1970
630198001
Puerto Rico 1980
630199001
Puerto Rico 1990
630200001
Puerto Rico 2000
630200501
Puerto Rico 2005
630201001
Puerto Rico 2010
642197701
Romania 1977
642199201
Romania 1992
642200201
Romania 2002
646199101
Rwanda 1991
646200201
Rwanda 2002
662198001
Saint Lucia 1980
662199101
Saint Lucia 1991
686198801
Senegal 1988
686200201
Senegal 2002
694200401
Sierra Leone 2004
704198901
Vietnam 1989
704199901
Vietnam 1999
704200901
Vietnam 2009
705200201
Slovenia 2002
710199601
South Africa 1996
710200101
South Africa 2001
710200701
South Africa 2007
710201101
South Africa 2011
724198101
Spain 1981
724199101
Spain 1991
724200101
Spain 2001
724201101
Spain 2011
728200801
South Sudan 2008
729200801
Sudan 2008
756197001
Switzerland 1970
756198001
Switzerland 1980
756199001
Switzerland 1990
756200001
Switzerland 2000
764197001
Thailand 1970
764198001
Thailand 1980
764199001
Thailand 1990
764200001
Thailand 2000
792198501
Turkey 1985
792199001
Turkey 1990
792200001
Turkey 2000
800199101
Uganda 1991
800200201
Uganda 2002
804200101
Ukraine 2001
818199601
Egypt 1996
818200601
Egypt 2006
826199101
United Kingdom 1991
826200101
United Kingdom 2001
834198801
Tanzania 1988
834200201
Tanzania 2002
840196001
United States 1960
840197001
United States 1970
840198001
United States 1980
840199001
United States 1990
840200001
United States 2000
840200501
United States 2005
840201001
United States 2010
854198501
Burkina Faso 1985
854199601
Burkina Faso 1996
854200601
Burkina Faso 2006
858196301
Uruguay 1963
858197501
Uruguay 1975
858198501
Uruguay 1985
858199601
Uruguay 1996
858200621
Uruguay 2006
858201101
Uruguay 2011
862197101
Venezuela 1971
862198101
Venezuela 1981
862199001
Venezuela 1990
862200101
Venezuela 2001
894199001
Zambia 1990
894200001
Zambia 2000
894201001
Zambia 2010
Technical Household Variables -- HOUSEHOLD
Household serial number
0
0
Technical Household Variables -- HOUSEHOLD
Number of person records in the household
0
0
PERSONS indicates how many person records are included in the household (i.e., the number of person records associated with the household record in the sample). These person records will all have the same serial number (SERIAL) as the household record. The information contained in the household record will normally apply to all of these persons.
PERSONS is a 3-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
Subsample number
0
0
SUBSAMP allocates each case to one of 100 subsample replicates, randomly numbered from 0 to 99. Each subsample is nationally representative and preserves any stratification of the sample from which it is drawn. Users who need a representative subset of a sample can use SUBSAMP to select their cases. For example, to randomly extract 10% of the cases from a sample, select any 10 of the 100 subsamples.
0
1st 1% subsample
1
2nd 1% subsample
2
3rd 1% subsample
3
4th 1% subsample
4
5th 1% subsample
5
6th 1% subsample
6
7th 1% subsample
7
8th 1% subsample
8
9th 1% subsample
9
10th 1% subsample
10
11th 1% subsample
11
12th 1% subsample
12
13th 1% subsample
13
14th 1% subsample
14
15th 1% subsample
15
16th 1% subsample
16
17th 1% subsample
17
18th 1% subsample
18
19th 1% subsample
19
20th 1% subsample
20
21st 1% subsample
21
22nd 1% subsample
22
23rd 1% subsample
23
24th 1% subsample
24
25th 1% subsample
25
26th 1% subsample
26
27th 1% subsample
27
28th 1% subsample
28
29th 1% subsample
29
30th 1% subsample
30
31st 1% subsample
31
32nd 1% subsample
32
33rd 1% subsample
33
34th 1% subsample
34
35th 1% subsample
35
36th 1% subsample
36
37th 1% subsample
37
38th 1% subsample
38
39th 1% subsample
39
40th 1% subsample
40
41st 1% subsample
41
42nd 1% subsample
42
43rd 1% subsample
43
44th 1% subsample
44
45th 1% subsample
45
46th 1% subsample
46
47th 1% subsample
47
48th 1% subsample
48
49th 1% subsample
49
50th 1% subsample
50
51st 1% subsample
51
52nd 1% subsample
52
53rd 1% subsample
53
54th 1% subsample
54
55th 1% subsample
55
56th 1% subsample
56
57th 1% subsample
57
58th 1% subsample
58
59th 1% subsample
59
60th 1% subsample
60
61st 1% subsample
61
62nd 1% subsample
62
63rd 1% subsample
63
64th 1% subsample
64
65th 1% subsample
65
66th 1% subsample
66
67th 1% subsample
67
68th 1% subsample
68
69th 1% subsample
69
70th 1% subsample
70
71st 1% subsample
71
72nd 1% subsample
72
73rd 1% subsample
73
74th 1% subsample
74
75th 1% subsample
75
76th 1% subsample
76
77th 1% subsample
77
78th 1% subsample
78
79th 1% subsample
79
80th 1% subsample
80
81st 1% subsample
81
82nd 1% subsample
82
83rd 1% subsample
83
84th 1% subsample
84
85th 1% subsample
85
86th 1% subsample
86
87th 1% subsample
87
88th 1% subsample
88
89th 1% subsample
89
90th 1% subsample
90
91st 1% subsample
91
92nd 1% subsample
92
93rd 1% subsample
93
94th 1% subsample
94
95th 1% subsample
95
96th 1% subsample
96
97th 1% subsample
97
98th 1% subsample
98
99th 1% subsample
99
100th 1% subsample
Technical Household Variables -- HOUSEHOLD
Group quarters (collective dwelling) status
0
0
0
Vacant
10
Households
20
Group quarters, n.s.
21
Institutions
22
Other group quarters
29
1-person unit created by splitting large household
99
Unknown/group quarters not identified
Group Quarters Variables -- HOUSEHOLD
Number of unrelated persons
0
0
UNREL indicates the number of persons in the household who are unrelated to the head.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9+
Group Quarters Variables -- HOUSEHOLD
Urban-rural status
0
0
URBAN indicates whether the household was located in a place designated as urban or as rural.
1
Rural
2
Urban
9
Unknown
Geography: Global Variables -- HOUSEHOLD
Continent and region of country
0
0
REGIONW identifies the continent and region of each country.
11
Eastern Africa
12
Middle Africa
13
Northern Africa
14
Southern Africa
15
Western Africa
21
Caribbean
22
Central America
23
North America
24
South America
31
Central Asia
32
Eastern Asia
33
Southern Asia
34
South-Eastern Asia
35
Western Asia
41
Eastern Europe
42
Northern Europe
43
Southern Europe
44
Western Europe
51
Australia and New Zealand
52
Melanesia
53
Micronesia
54
Polynesia
Geography: Global Variables -- HOUSEHOLD
Brazil, Region
0
0
1
North
2
Northeast
3
Southeast
4
South
5
Midwest
Geography: A-L Variables -- HOUSEHOLD
Brazil, Mesoregion
0
0
1101
Madeira-Guaporé
1102
Leste Rondoniense
1199
Rondonia - Mesoregion unknown
1201
Vale do Juruá
1202
Vale do Acre
1301
Norte Amazonense
1302
Sudoeste Amazonense
1303
Centro Amazonense
1304
Sul Amazonense
1399
Amazonas - Mesoregion unknown
1401
Norte de Roraima
1402
Sul de Roraima
1501
Baixo Amazonas
1502
Marajó
1503
Metropolitana de Belém
1504
Nordeste Paraense
1505
Sudoeste Paraense
1506
Sudeste Paraense
1599
Pará - Mesoregion unknown
1601
Norte do Amapá
1602
Sul do Amapá
1699
Amapa - Mesoregion unknown
1701
Ocidental do Tocantins
1702
Oriental do Tocantins
1799
Tocantins - Mesoregion unknown
2101
Norte Maranhense
2102
Oeste Maranhense
2103
Centro Maranhense
2104
Leste Maranhense
2105
Sul Maranhense
2199
Maranhao - Mesoregion unknown
2201
Norte Piauiense
2202
Centro-Norte Piauiense
2203
Sudoeste Piauiense
2204
Sudeste Piauiense
2299
Piaui - Mesoregion unknown
2301
Noroeste Cearense
2302
Norte Cearense
2303
Metropolitana de Fortaleza
2304
Sertões Cearenses
2305
Jaguaribe
2306
Centro-Sul Cearense
2307
Sul Cearense
2401
Oeste Potiguar
2402
Central Potiguar
2403
Agreste Potiguar
2404
Leste Potiguar
2499
Rio Grande do Norte - Mesoregion unknown
2501
Sertão Paraibano
2502
Borborema
2503
Agreste Paraibano
2504
Mata Paraibana
2599
Paraíba - Mesoregion unknown
2601
Sertão Pernambucano
2602
São Francisco Pernambucano
2603
Agreste Pernambucano
2604
Mata Pernambucana
2605
Metropolitana de Recife
2699
Pernambuco - Mesoregion unknown
2701
Sertão Alagoano
2702
Agreste Alagoano
2703
Leste Alagoano
2799
Alagoas - Mesoregion unknown
2801
Sertão Sergipano
2802
Agreste Sergipano
2803
Leste Sergipano
2899
Sergipe - Mesoregion unknown
2901
Extremo Oeste Baiano
2902
Vale São-Franciscano da Bahia
2903
Centro Norte Baiano
2904
Nordeste Baiano
2905
Metropolitana de Salvador
2906
Centro Sul Baiano
2907
Sul Baiano
2999
Bahia - Mesoregion unknown
3101
Noroeste de Minas
3102
Norte de Minas
3103
Jequitinhonha
3104
Vale do Mucuri
3105
Triângulo Mineiro/Alto Paranaíba
3106
Central Mineira
3107
Metropolitana de Belo Horizonte
3108
Vale do Rio Doce
3109
Oeste de Minas
3110
Sul/Sudoeste de Minas
3111
Campo das Vertentes
3112
Zona da Mata
3199
Minas Gerais - Mesoregion unknown
3201
Noroeste Espírito-santense
3202
Litoral Norte Espírito-santense
3203
Central Espírito-santense
3204
Sul Espírito-santense
3299
Espirito Santo - Mesoregion unknown
3301
Noroeste Fluminense
3302
Norte Fluminense
3303
Centro Fluminense
3304
Baixadas
3305
Sul Fluminense
3306
Metropolitana do Rio de Janeiro
3399
Rio de Janeiro - Mesoregion unknown
3501
São José do Rio Preto
3502
Ribeirão Preto
3503
Araçatuba
3504
Bauru
3505
Araraquara
3506
Piracicaba
3507
Campinas
3508
Presidente Prudente
3509
Marília
3510
Assis
3511
Itapetininga
3512
Macro Metropolitana Paulista
3513
Vale do Paraíba Paulista
3514
Litoral Sul Paulista
3515
Metropolitana de São Paulo
4101
Noroeste Paranaense
4102
Centro Ocidental Paranaense
4103
Norte Central Paranaense
4104
Norte Pioneiro Paranaense
4105
Centro Oriental Paranaense
4106
Oeste Paranaense
4107
Sudoeste Paranaense
4108
Centro-Sul Paranaense
4109
Sudeste Paranaense
4110
Metropolitana de Curitiba
4199
Parana - Mesoregion unknown
4201
Oeste Catarinense
4202
Norte Catarinense
4203
Serrana
4204
Vale do Itajaí
4205
Grande Florianópolis
4206
Sul Catarinense
4299
Santa Catarina - Mesoregion unknown
4301
Noroeste Rio-grandense
4302
Nordeste Rio-grandense
4303
Centro Ocidental Rio-grandense
4304
Centro Oriental Rio-grandense
4305
Metropolitana de Porto Alegre
4306
Sudoeste Rio-grandense
4307
Sudeste Rio-grandense
4399
Rio Grande do Sul - Mesoregion unknown
5001
Pantanais Sul Mato-grossense
5002
Centro Norte de Mato Grosso do Sul
5003
Leste de Mato Grosso do Sul
5004
Sudoeste de Mato Grosso do Sul
5099
Mato Grosso do Sul - Mesoregion unknown
5101
Norte Mato-grossense
5102
Nordeste Mato-grossense
5103
Sudoeste Mato-grossense
5104
Centro-Sul Mato-grossense
5105
Sudeste Mato-grossense
5199
Mato Grosso - Mesoregion unknown
5201
Noroeste Goiano
5202
Norte Goiano
5203
Centro Goiano
5204
Leste Goiano
5205
Sul Goiano
5299
Goias - Mesoregion unknown
5301
Distrito Federal
Geography: A-L Variables -- HOUSEHOLD
Brazil, Municipality
0
0
1199901
Cacoal merged
1199902
Porto Velho merged
1200302
Feijó
1299901
Cruzeiro do Sul merged
1299902
Rio Branco merged
1299903
Sena Madureira merged
1299904
Senador Guiomard merged
1299905
Tarauacá merged
1300300
Autazes
1300409
Barcelos
1300706
Boca do Acre
1301209
Coari
1301407
Eirunepé
1301704
Humaitá
1302306
Jutaí
1302405
Lábrea
1302702
Manicoré
1303106
Nova Olinda do Norte
1303403
Parintins
1303809
São Gabriel da Cachoeira
1399901
Carauari merged
1399902
Ipixuna merged
1399903
Manaus merged
1399904
Maués merged
1399905
Tabatinga merged
1399906
Tefé merged
1399999
Rest of Amazonas
1499901
Boa Vista merged
1500107
Abaetetuba
1500305
Afuá
1500503
Almeirim
1500800
Ananindeua
1500909
Augusto Corrêa
1501204
Baião
1501303
Barcarena
1501402
Belém
1501808
Breves
1502103
Cametá
1502202
Capanema
1502301
Capitão Poço
1502400
Castanhal
1502806
Curralinho
1503101
Gurupá
1503200
Igarapé-Açu
1503309
Igarapé-Miri
1503903
Juruti
1504307
Maracanã
1504406
Marapanim
1504505
Melgaço
1504604
Mocajuba
1504802
Monte Alegre
1504901
Muaná
1505106
Óbidos
1505205
Oeiras do Pará
1506203
Salinópolis
1506500
Santa Isabel do Pará
1506609
Santa Maria do Pará
1507607
São Miguel do Guamá
1508001
Tomé-Açu
1508209
Vigia
1599901
Acará merged
1599902
Alenquer merged
1599903
Altamira merged
1599904
Bragança merged
1599905
Bujaru merged
1599906
Curuçá merged
1599907
Itaituba merged
1599908
Marabá merged
1599909
Marituba merged
1599910
Oriximiná merged
1599911
Paragominas merged
1599912
Redenção merged
1599913
Rurópolis merged
1599914
Santana do Araguaia merged
1599915
Santarém merged
1599916
São Félix do Xingu merged
1599917
São João de Pirabas merged
1599999
Rest of Pará
1699901
Laranjal do Jari merged
1699902
Macapá merged
1705508
Colinas do Tocantins
1799901
Araguaína merged
1799902
Araguatins merged
1799903
Goiatins merged
1799904
Guaraí merged
1799905
Miracema do Tocantins merged
1799906
Natividade merged
1799907
Nova Olinda merged
1799908
Palmas merged
1799909
Paraíso do Tocantins merged
1799910
Paranã merged
1799911
Peixe merged
1799912
São Miguel do Tocantins merged
1799913
Tocantinópolis merged
1799999
Rest of Tocantins
2100204
Alcântara
2100600
Amarante do Maranhão
2100709
Anajatuba
2101400
Balsas
2102200
Buriti
2102309
Buriti Bravo
2103208
Chapadinha
2103406
Coelho Neto
2103802
Dom Pedro
2105005
Humberto de Campos
2105104
Icatu
2106607
Matões
2107803
Parnarama
2108306
Penalva
2108900
Poção de Pedras
2109809
Santa Helena
2109908
Santa Inês
2110203
Santa Rita
2110500
São Bento
2111201
São José de Ribamar
2111300
São Luís
2112100
Timbiras
2112209
Timon
2112704
Vargem Grande
2113009
Vitorino Freire
2199901
Araioses merged
2199902
Bacuri merged
2199903
Barra do Corda merged
2199904
Barreirinhas merged
2199905
Bom Jardim merged
2199906
Carolina merged
2199907
Carutapera merged
2199908
Caxias merged
2199909
Codó merged
2199910
Colinas merged
2199911
Cururupu merged
2199912
Esperantinópolis merged
2199913
Governador Eugênio Barros merged
2199914
Governador Nunes Freire merged
2199915
Imperatriz merged
2199916
Itapecuru Mirim merged
2199917
João Lisboa merged
2199918
Lago da Pedra merged
2199919
Mirinzal merged
2199920
Montes Altos merged
2199921
Morros merged
2199922
Paço do Lumiar merged
2199923
Passagem Franca merged
2199924
Pastos Bons merged
2199925
Paulo Ramos merged
2199926
Pedreiras merged
2199927
Pindaré-Mirim merged
2199928
Pinheiro merged
2199929
Pio XII merged
2199930
Porto Franco merged
2199931
Presidente Dutra merged
2199932
Primeira Cruz merged
2199933
Riachão merged
2199934
Rosário merged
2199935
Santa Luzia merged
2199936
Santa Quitéria do Maranhão merged
2199937
São Bernardo merged
2199938
São Domingos do Maranhão merged
2199939
São João dos Patos merged
2199940
Tuntum merged
2199941
Turiaçu merged
2199942
Urbano Santos merged
2199943
Viana merged
2199944
Vitória do Mearim merged
2199945
Zé Doca merged
2199999
Rest of Maranhão
2203909
Floriano
2205508
José de Freitas
2299901
Altos merged
2299902
Avelino Lopes merged
2299903
Barras merged
2299904
Bom Jesus merged
2299905
Campo Maior merged
2299906
Castelo do Piauí merged
2299907
Cocal merged
2299908
Corrente merged
2299909
Jaicós merged
2299910
Luzilândia merged
2299911
Oeiras merged
2299912
Padre Marcos merged
2299913
Parnaíba merged
2299914
Paulistana merged
2299915
Picos merged
2299916
Pio IX merged
2299917
Piripiri merged
2299918
Regeneração merged
2299919
São Miguel do Tapuio merged
2299920
São Raimundo Nonato merged
2299921
Simões merged
2299922
Teresina merged
2299923
Uruçuí merged
2299924
Valença do Piauí merged
2299999
Rest of Piauí
2300309
Acopiara
2301703
Aurora
2301901
Barbalha
2302008
Barro
2302107
Baturité
2302206
Beberibe
2302305
Bela Cruz
2302404
Boa Viagem
2302503
Brejo Santo
2302800
Canindé
2303204
Caririaçu
2303709
Caucaia
2303808
Cedro
2304103
Crateús
2304202
Crato
2304301
Farias Brito
2304400
Fortaleza
2304707
Granja
2305308
Ibiapina
2305407
Icó
2305902
Ipueiras
2306900
Jaguaribe
2307007
Jaguaruana
2307106
Jardim
2307304
Juazeiro do Norte
2307403
Jucás
2307502
Lavras da Mangabeira
2307601
Limoeiro do Norte
2307809
Marco
2308005
Massapê
2308104
Mauriti
2308302
Milagres
2308401
Missão Velha
2308500
Mombaça
2309409
Novo Oriente
2309508
Orós
2310308
Parambu
2310506
Pedra Branca
2310704
Pentecoste
2311801
Russas
2312007
Santana do Acaraú
2312403
São Gonçalo do Amarante
2312700
Senador Pompeu
2313104
Tabuleiro do Norte
2313203
Tamboril
2313302
Tauá
2313401
Tianguá
2313500
Trairi
2313609
Ubajara
2314003
Várzea Alegre
2314102
Viçosa do Ceará
2399901
Acaraú merged
2399902
Aquiraz merged
2399903
Aracati merged
2399904
Aracoiaba merged
2399905
Assaré merged
2399906
Camocim merged
2399907
Campos Sales merged
2399908
Cascavel merged
2399909
Guaraciaba do Norte merged
2399910
Iguatu merged
2399911
Independência merged
2399912
Ipu merged
2399913
Itapagé merged
2399914
Itapipoca merged
2399915
Maracanaú merged
2399916
Morada Nova merged
2399917
Nova Russas merged
2399918
Pacajus merged
2399919
Pacatuba merged
2399920
Paracuru merged
2399921
Pereiro merged
2399922
Quixadá merged
2399923
Quixeramobim merged
2399924
Redenção merged
2399925
Reriutaba merged
2399926
Santa Quitéria merged
2399927
São Benedito merged
2399928
Sobral merged
2399929
Solonópole merged
2399930
Umirim merged
2399999
Rest of Ceará
2401008
Apodi
2402006
Caicó
2402204
Canguaretama
2402600
Ceará-Mirim
2403103
Currais Novos
2403251
Parnamirim
2405801
João Câmara
2407104
Macaíba
2407203
Macau
2408102
Natal
2408300
Nova Cruz
2409407
Pau dos Ferros
2411205
Santa Cruz
2411502
Santo Antônio
2412005
São Gonçalo do Amarante
2412203
São José de Mipibu
2499901
Mossoró merged
2499902
São Miguel merged
2499903
Touros merged
2499999
Rest of Rio Grande do Norte
2500304
Alagoa Grande
2501104
Areia
2501500
Bananeiras
2501807
Bayeux
2503209
Cabedelo
2503704
Cajazeiras
2504306
Catolé do Rocha
2506004
Esperança
2506301
Guarabira
2506905
Itabaiana
2507002
Itaporanga
2507507
João Pessoa
2508307
Lagoa Seca
2509107
Mari
2509701
Monteiro
2510808
Patos
2511202
Pedras de Fogo
2512507
Queimadas
2513703
Santa Rita
2513901
São Bento
2599901
Alagoa Nova merged
2599902
Aroeiras merged
2599903
Boqueirão merged
2599904
Campina Grande merged
2599905
Conceição merged
2599906
Cuité merged
2599907
Gurinhém merged
2599908
Ingá merged
2599909
Juazeirinho merged
2599910
Mamanguape merged
2599911
Picuí merged
2599912
Pombal merged
2599913
Princesa Isabel merged
2599914
Rio Tinto merged
2599915
São João do Rio do Peixe merged
2599916
Sapé merged
2599917
Solânea merged
2599918
Sousa merged
2599919
Uiraúna merged
2599999
Rest of Paraíba
2600104
Afogados da Ingazeira
2600302
Agrestina
2600500
Águas Belas
2600708
Aliança
2600807
Altinho
2600906
Amaraji
2601102
Araripina
2601201
Arcoverde
2601409
Barreiros
2601607
Belém de São Francisco
2601706
Belo Jardim
2601904
Bezerros
2602001
Bodocó
2602100
Bom Conselho
2602209
Bom Jardim
2602308
Bonito
2602605
Brejo da Madre de Deus
2602803
Buíque
2602902
Cabo de Santo Agostinho
2603009
Cabrobó
2603207
Caetés
2603702
Canhotinho
2604106
Caruaru
2604205
Catende
2604601
Condado
2604908
Cumaru
2605004
Cupira
2605103
Custódia
2605202
Escada
2605301
Exu
2605608
Flores
2605905
Gameleira
2606002
Garanhuns
2606101
Glória do Goitá
2606200
Goiana
2606408
Gravatá
2606606
Ibimirim
2607208
Ipojuca
2607307
Ipubi
2607505
Itaíba
2607653
Itambé
2607901
Jaboatão dos Guararapes
2608107
João Alfredo
2608503
Lagoa do Itaenga
2608800
Lajedo
2608909
Limoeiro
2609006
Macaparana
2609402
Moreno
2609501
Nazaré da Mata
2609600
Olinda
2609709
Orobó
2610004
Palmares
2610202
Panelas
2610509
Passira
2610806
Pedra
2610905
Pesqueira
2611309
Pombos
2611507
Quipapá
2611804
Ribeirão
2612208
Salgueiro
2612505
Santa Cruz do Capibaribe
2613008
São Bento do Una
2613107
São Caitano
2613503
São José do Belmonte
2613602
São José do Egito
2613909
Serra Talhada
2614105
Sertânia
2614204
Sirinhaém
2614600
Tabira
2615300
Timbaúba
2615409
Toritama
2615607
Trindade
2615805
Tupanatinga
2616308
Vicência
2616407
Vitória de Santo Antão
2699901
Água Preta merged
2699902
Carnaíba merged
2699903
Carpina merged
2699904
Floresta merged
2699905
Inajá merged
2699906
Jupi merged
2699907
Maraial merged
2699908
Ouricuri merged
2699909
Paulista merged
2699910
Petrolândia merged
2699911
Petrolina merged
2699912
Recife merged
2699913
Rio Formoso merged
2699914
Santa Maria da Boa Vista merged
2699915
Surubim merged
2699916
Triunfo merged
2699999
Rest of Pernambuco
2700409
Atalaia
2701001
Boca da Mata
2702405
Delmiro Gouveia
2702603
Feira Grande
2702900
Girau do Ponciano
2703205
Igreja Nova
2703809
Joaquim Gomes
2704203
Limoeiro de Anadia
2704302
Maceió
2704500
Maragogi
2704708
Marechal Deodoro
2705002
Mata Grande
2705101
Matriz de Camaragibe
2705507
Murici
2706406
Pão de Açúcar
2706703
Penedo
2706901
Pilar
2707107
Piranhas
2707305
Porto Calvo
2707701
Rio Largo
2708303
São José da Laje
2708501
São Luís do Quitunde
2708600
São Miguel dos Campos
2708808
São Sebastião
2709202
Traipu
2709301
União dos Palmares
2709400
Viçosa
2799901
Água Branca merged
2799902
Arapiraca merged
2799903
Coruripe merged
2799904
Palmeira dos Índios merged
2799905
Santana do Ipanema merged
2799999
Rest of Alagoas
2800308
Aracaju
2800670
Boquim
2801306
Capela
2802106
Estância
2802908
Itabaiana
2803005
Itabaianinha
2803203
Itaporanga d'Ajuda
2803500
Lagarto
2803609
Laranjeiras
2804508
Nossa Senhora da Glória
2804607
Nossa Senhora das Dores
2804805
Nossa Senhora do Socorro
2805406
Poço Redondo
2805604
Porto da Folha
2805703
Propriá
2806701
São Cristóvão
2807105
Simão Dias
2807402
Tobias Barreto
2899901
Neópolis merged
2899999
Rest of Sergipe
2901007
Amargosa
2901106
Amélia Rodrigues
2901205
Anagé
2902104
Araci
2902609
Baixa Grande
2902807
Barra da Estiva
2902906
Barra do Choça
2903201
Barreiras
2903409
Belmonte
2904100
Boquira
2904605
Brumado
2904902
Cachoeira
2905008
Caculé
2905602
Camacan
2905909
Campo Alegre de Lourdes
2906501
Candeias
2906709
Cândido Sales
2906808
Cansanção
2907202
Casa Nova
2907509
Catu
2908002
Coaraci
2908408
Conceição do Coité
2908507
Conceição do Jacuípe
2908606
Conde
2908903
Coração de Maria
2909802
Cruz das Almas
2909901
Curaçá
2910503
Entre Rios
2910602
Esplanada
2910800
Feira de Santana
2911709
Guanambi
2911808
Guaratinga
2911907
Iaçu
2912103
Ibicaraí
2912707
Ibirapitanga
2912905
Ibirataia
2913200
Ibotirama
2913507
Iguaí
2913606
Ilhéus
2913705
Inhambupe
2913903
Ipiaú
2914505
Irará
2914703
Itaberaba
2915502
Itajuípe
2915809
Itambé
2916005
Itanhém
2916401
Itapetinga
2916500
Itapicuru
2917003
Itiúba
2917706
Jaguarari
2918001
Jequié
2918308
Jitaúna
2919207
Lauro de Freitas
2919504
Livramento de Nossa Senhora
2919553
Luís Eduardo Magalhães
2919801
Macaúbas
2920601
Maragogipe
2921005
Mata de São João
2921104
Medeiros Neto
2921203
Miguel Calmon
2921500
Monte Santo
2922003
Mucuri
2922102
Mundo Novo
2922409
Mutuípe
2922508
Nazaré
2922904
Nova Soure
2923001
Nova Viçosa
2923100
Olindina
2923209
Oliveira dos Brejinhos
2923407
Palmas de Monte Alto
2923704
Paratinga
2924009
Paulo Afonso
2924405
Pilão Arcado
2925006
Planalto
2925204
Pojuca
2925907
Quijingue
2926004
Remanso
2926202
Riachão das Neves
2927002
Rio Real
2927200
Ruy Barbosa
2928000
Santaluz
2928208
Santana
2928802
Santo Estêvão
2929107
São Felipe
2929206
São Francisco do Conde
2929305
São Gonçalo dos Campos
2929503
São Sebastião do Passé
2929909
Seabra
2930204
Sento Sé
2930501
Serrinha
2930709
Simões Filho
2931004
Tanhaçu
2931509
Teofilândia
2931905
Tucano
2932002
Uauá
2932101
Ubaíra
2932200
Ubaitaba
2932309
Ubatã
2932705
Uruçuca
2933208
Vera Cruz
2933307
Vitória da Conquista
2999901
Alagoinhas merged
2999902
Andaraí merged
2999903
Antas merged
2999904
Barra merged
2999905
Boa Nova merged
2999906
Bom Jesus da Lapa merged
2999907
Buerarema merged
2999908
Caetité merged
2999909
Camaçari merged
2999910
Camamu merged
2999911
Campo Formoso merged
2999912
Canarana merged
2999913
Canavieiras merged
2999914
Carinhanha merged
2999915
Cícero Dantas merged
2999916
Condeúba merged
2999917
Correntina merged
2999918
Encruzilhada merged
2999919
Euclides da Cunha merged
2999920
Gandu merged
2999921
Ibitiara merged
2999922
Ipirá merged
2999923
Irecê merged
2999924
Itabuna merged
2999925
Itamaraju merged
2999926
Itatim merged
2999927
Ituberá merged
2999928
Jacobina merged
2999929
Jaguaquara merged
2999930
Jeremoabo merged
2999931
Juazeiro merged
2999932
Mairi merged
2999933
Malhada merged
2999934
Maracás merged
2999935
Morro do Chapéu merged
2999936
Muritiba merged
2999937
Paramirim merged
2999938
Paripiranga merged
2999939
Pindobaçu merged
2999940
Poções merged
2999941
Ponto Novo merged
2999942
Porto Seguro merged
2999943
Prado merged
2999944
Presidente Jânio Quadros merged
2999945
Queimadas merged
2999946
Riachão do Jacuípe merged
2999947
Riacho de Santana merged
2999948
Ribeira do Amparo merged
2999949
Ribeira do Pombal merged
2999950
Salvador merged
2999951
Santa Maria da Vitória merged
2999952
Santa Rita de Cássia merged
2999953
Santo Amaro merged
2999954
Santo Antônio de Jesus merged
2999955
Senhor do Bonfim merged
2999956
Serrolândia merged
2999957
Teixeira de Freitas merged
2999958
Tremedal merged
2999959
Una merged
2999960
Valença merged
2999961
Valente merged
2999962
Wanderley merged
2999963
Xique-Xique merged
2999999
Rest of Bahia
3100203
Abaeté
3101102
Aimorés
3101508
Além Paraíba
3101607
Alfenas
3102605
Andradas
3103405
Araçuaí
3103504
Araguari
3104007
Araxá
3104205
Arcos
3105103
Bambuí
3105400
Barão de Cocais
3105608
Barbacena
3106200
Belo Horizonte
3106705
Betim
3107109
Boa Esperança
3107406
Bom Despacho
3109006
Brumadinho
3109303
Buritis
3109402
Buritizeiro
3110004
Caeté
3110509
Camanducaia
3111002
Campestre
3111200
Campo Belo
3111606
Campos Gerais
3113008
Caraí
3113206
Carandaí
3113701
Carlos Chagas
3114303
Carmo do Paranaíba
3115300
Cataguases
3115508
Caxambu
3116605
Cláudio
3118007
Congonhas
3118304
Conselheiro Lafaiete
3118601
Contagem
3119104
Corinto
3119302
Coromandel
3119401
Coronel Fabriciano
3120904
Curvelo
3121605
Diamantina
3122306
Divinópolis
3123601
Elói Mendes
3124104
Esmeraldas
3124203
Espera Feliz
3126703
Francisco Sá
3127107
Frutal
3127701
Governador Valadares
3128006
Guanhães
3128709
Guaxupé
3129509
Ibiá
3131307
Ipatinga
3131703
Itabira
3131901
Itabirito
3132404
Itajubá
3132701
Itambacuri
3133303
Itaobim
3133501
Itapecerica
3133808
Itaúna
3134202
Ituiutaba
3135803
Jequitinhonha
3136207
João Monlevade
3136702
Juiz de Fora
3137205
Lagoa da Prata
3138203
Lavras
3138401
Leopoldina
3139003
Machado
3140001
Mariana
3141108
Matozinhos
3141405
Medina
3143104
Monte Carmelo
3143203
Monte Santo de Minas
3143302
Montes Claros
3144003
Mutum
3144102
Muzambinho
3144300
Nanuque
3144607
Nepomuceno
3144805
Nova Lima
3145208
Nova Serrana
3145307
Novo Cruzeiro
3145604
Oliveira
3145901
Ouro Branco
3146008
Ouro Fino
3146107
Ouro Preto
3147006
Paracatu
3147105
Pará de Minas
3147402
Paraopeba
3147907
Passos
3148004
Patos de Minas
3148103
Patrocínio
3148707
Pedra Azul
3149309
Pedro Leopoldo
3151206
Pirapora
3151404
Pitangui
3151503
Piumhi
3151800
Poços de Caldas
3152006
Pompéu
3152501
Pouso Alegre
3152808
Prata
3154606
Ribeirão das Neves
3156700
Sabará
3156908
Sacramento
3157807
Santa Luzia
3159605
Santa Rita do Sapucaí
3160405
Santo Antônio do Monte
3160702
Santos Dumont
3162005
São Gonçalo do Sapucaí
3162104
São Gotardo
3162500
São João del Rei
3162906
São João Nepomuceno
3163706
São Lourenço
3164704
São Sebastião do Paraíso
3167103
Serro
3167202
Sete Lagoas
3168705
Timóteo
3169307
Três Corações
3169356
Três Marias
3169406
Três Pontas
3169901
Ubá
3170206
Uberlândia
3170701
Varginha
3170800
Várzea da Palma
3171303
Viçosa
3172004
Visconde do Rio Branco
3199901
Açucena merged
3199902
Águas Formosas merged
3199903
Águas Vermelhas merged
3199904
Almenara merged
3199905
Alpinópolis merged
3199906
Bocaiúva merged
3199907
Brasília de Minas merged
3199908
Cambuí merged
3199909
Capelinha merged
3199910
Carangola merged
3199911
Caratinga merged
3199912
Conselheiro Pena merged
3199913
Coração de Jesus merged
3199914
Divino merged
3199915
Espinosa merged
3199916
Formiga merged
3199917
Grão Mogol merged
3199918
Ibirité merged
3199919
Igarapé merged
3199920
Inhapim merged
3199921
Itacarambi merged
3199922
Itamarandiba merged
3199923
Itaú de Minas merged
3199924
Itinga merged
3199925
Iturama merged
3199926
Jaíba merged
3199927
Janaúba merged
3199928
Januária merged
3199929
João Pinheiro merged
3199930
Lagoa Santa merged
3199931
Malacacheta merged
3199932
Manhuaçu merged
3199933
Manhumirim merged
3199934
Mantena merged
3199935
Mateus Leme merged
3199936
Minas Novas merged
3199937
Muriaé merged
3199938
Peçanha merged
3199939
Ponte Nova merged
3199940
Porteirinha merged
3199941
Presidente Olegário merged
3199942
Raul Soares merged
3199943
Rio Pardo de Minas merged
3199944
Salinas merged
3199945
Santa Bárbara merged
3199946
Santana do Paraíso merged
3199947
São Francisco merged
3199948
São João da Ponte merged
3199949
São João do Paraíso merged
3199950
Taiobeiras merged
3199951
Teófilo Otoni merged
3199952
Tupaciguara merged
3199953
Turmalina merged
3199954
Uberaba merged
3199955
Unaí merged
3199956
Vespasiano merged
3199999
Rest of Minas Gerais
3200607
Aracruz
3200805
Baixo Guandu
3201308
Cariacica
3201407
Castelo
3202108
Ecoporanga
3202306
Guaçuí
3202405
Guarapari
3203403
Mimoso do Sul
3204104
Pinheiros
3205002
Serra
3205101
Viana
3205200
Vila Velha
3205309
Vitória
3299901
Afonso Cláudio merged
3299902
Alegre merged
3299903
Barra de São Francisco merged
3299904
Cachoeiro de Itapemirim merged
3299905
Colatina merged
3299906
Conceição da Barra merged
3299907
Domingos Martins merged
3299908
Iúna merged
3299909
João Neiva merged
3299910
Linhares merged
3299911
Marataízes merged
3299912
Nova Venécia merged
3299913
Pancas merged
3299914
Santa Maria de Jetibá merged
3299915
Santa Teresa merged
3299916
São Mateus merged
3299917
Venda Nova do Imigrante merged
3299999
Rest of Espírito Santo
3300100
Angra dos Reis
3300209
Araruama
3300308
Barra do Piraí
3300506
Bom Jardim
3300605
Bom Jesus do Itabapoana
3300803
Cachoeiras de Macacu
3301702
Duque de Caxias
3302106
Itaocara
3302205
Itaperuna
3302601
Mangaratiba
3302700
Maricá
3302858
Mesquita
3302908
Miguel Pereira
3303005
Miracema
3303203
Nilópolis
3303302
Niterói
3303401
Nova Friburgo
3303609
Paracambi
3303708
Paraíba do Sul
3303807
Parati
3304300
Rio Bonito
3304557
Rio de Janeiro
3304805
São Fidélis
3304904
São Gonçalo
3305109
São João de Meriti
3305505
Saquarema
3305604
Silva Jardim
3305802
Teresópolis
3306107
Valença
3306305
Volta Redonda
3399901
Barra Mansa merged
3399902
Cabo Frio merged
3399903
Cambuci merged
3399904
Campos dos Goytacazes merged
3399905
Cantagalo merged
3399906
Itaboraí merged
3399907
Itaguaí merged
3399908
Macaé merged
3399909
Magé merged
3399910
Natividade merged
3399911
Nova Iguaçu merged
3399912
Petrópolis merged
3399913
Piraí merged
3399914
Resende merged
3399915
Rio das Ostras merged
3399916
Santo Antônio de Pádua merged
3399917
São Francisco de Itabapoana merged
3399918
São Pedro da Aldeia merged
3399919
Três Rios merged
3399920
Vassouras merged
3399999
Rest of Rio de Janeiro
3500105
Adamantina
3500303
Aguaí
3501301
Álvares Machado
3501608
Americana
3501707
Américo Brasiliense
3501905
Amparo
3502101
Andradina
3502507
Aparecida
3503307
Araras
3503901
Arujá
3504107
Atibaia
3504503
Avaré
3505203
Bariri
3505302
Barra Bonita
3505500
Barretos
3505609
Barrinha
3505708
Barueri
3505807
Bastos
3505906
Batatais
3506003
Bauru
3506102
Bebedouro
3506508
Birigui
3506607
Biritiba-Mirim
3507001
Boituva
3507506
Botucatu
3508405
Cabreúva
3508504
Caçapava
3508603
Cachoeira Paulista
3509007
Caieiras
3509205
Cajamar
3509502
Campinas
3509601
Campo Limpo Paulista
3509700
Campos do Jordão
3510005
Cândido Mota
3510401
Capivari
3510500
Caraguatatuba
3510609
Carapicuíba
3510807
Casa Branca
3511508
Cerquilho
3512209
Conchal
3513108
Cravinhos
3513405
Cruzeiro
3513504
Cubatão
3513603
Cunha
3513702
Descalvado
3513801
Diadema
3514106
Dois Córregos
3514403
Dracena
3515004
Embu
3515103
Embu-Guaçu
3515186
Espírito Santo do Pinhal
3515509
Fernandópolis
3515707
Ferraz de Vasconcelos
3516200
Franca
3516309
Francisco Morato
3516408
Franco da Rocha
3516705
Garça
3517406
Guaíra
3518206
Guararapes
3518305
Guararema
3518602
Guariba
3518701
Guarujá
3518800
Guarulhos
3519303
Ibaté
3519600
Ibitinga
3519709
Ibiúna
3520004
Igaraçu do Tietê
3520103
Igarapava
3520400
Ilhabela
3520509
Indaiatuba
3521804
Itaí
3522109
Itanhaém
3522505
Itapevi
3522604
Itapira
3522703
Itápolis
3523107
Itaquaquecetuba
3523404
Itatiba
3523909
Itu
3524006
Itupeva
3524105
Ituverava
3524303
Jaboticabal
3524402
Jacareí
3525003
Jandira
3525102
Jardinópolis
3525300
Jaú
3525904
Jundiaí
3526100
Juquiá
3526209
Juquitiba
3526407
Laranjal Paulista
3526704
Leme
3526902
Limeira
3527108
Lins
3527306
Louveira
3528502
Mairiporã
3529005
Marília
3529203
Martinópolis
3529302
Matão
3529401
Mauá
3529906
Miracatu
3530102
Mirandópolis
3530300
Mirassol
3530508
Mococa
3530607
Mogi das Cruzes
3530805
Moji Mirim
3531100
Mongaguá
3531308
Monte Alto
3531803
Monte Mor
3531902
Morro Agudo
3533403
Nova Odessa
3533502
Novo Horizonte
3533908
Olímpia
3534302
Orlândia
3534401
Osasco
3534609
Osvaldo Cruz
3534708
Ourinhos
3535309
Palmital
3535507
Paraguaçu Paulista
3536505
Paulínia
3536703
Pederneiras
3537107
Pedreira
3537305
Penápolis
3537602
Peruíbe
3537800
Piedade
3537909
Pilar do Sul
3538006
Pindamonhangaba
3538600
Piracaia
3538808
Piraju
3538907
Pirajuí
3539202
Pirapozinho
3539301
Pirassununga
3539806
Poá
3540200
Pontal
3540606
Porto Feliz
3540705
Porto Ferreira
3541000
Praia Grande
3541307
Presidente Epitácio
3541406
Presidente Prudente
3541505
Presidente Venceslau
3541604
Promissão
3542206
Rancharia
3542602
Registro
3543006
Ribeirão Branco
3543303
Ribeirão Pires
3543907
Rio Claro
3544004
Rio das Pedras
3544103
Rio Grande da Serra
3545209
Salto
3545308
Salto de Pirapora
3545803
Santa Bárbara d'Oeste
3546306
Santa Cruz das Palmeiras
3546801
Santa Isabel
3547304
Santana de Parnaíba
3547502
Santa Rita do Passa Quatro
3547601
Santa Rosa de Viterbo
3547809
Santo André
3548708
São Bernardo do Campo
3548807
São Caetano do Sul
3548906
São Carlos
3549102
São João da Boa Vista
3549409
São Joaquim da Barra
3549706
São José do Rio Pardo
3549904
São José dos Campos
3550209
São Miguel Arcanjo
3550308
São Paulo
3550407
São Pedro
3550704
São Sebastião
3551009
São Vicente
3551504
Serrana
3551603
Serra Negra
3551702
Sertãozinho
3552106
Socorro
3552205
Sorocaba
3552502
Suzano
3552809
Taboão da Serra
3553302
Tambaú
3553401
Tanabi
3553708
Taquaritinga
3553807
Taquarituba
3554102
Taubaté
3554805
Tremembé
3555406
Ubatuba
3556206
Valinhos
3556404
Vargem Grande do Sul
3556503
Várzea Paulista
3556701
Vinhedo
3557006
Votorantim
3599901
Agudos merged
3599902
Angatuba merged
3599903
Apiaí merged
3599904
Araçatuba merged
3599905
Araraquara merged
3599906
Assis merged
3599907
Bragança Paulista merged
3599908
Cajati merged
3599909
Cajuru merged
3599910
Capão Bonito merged
3599911
Catanduva merged
3599912
Cosmópolis merged
3599913
Cotia merged
3599914
Guaratinguetá merged
3599915
Iguape merged
3599916
Itapecerica da Serra merged
3599917
Itapetininga merged
3599918
Itapeva merged
3599919
Itararé merged
3599920
Jales merged
3599921
José Bonifácio merged
3599922
Lençóis Paulista merged
3599923
Lorena merged
3599924
Mairinque merged
3599925
Mogi Guaçu merged
3599926
Pereira Barreto merged
3599927
Piracicaba merged
3599928
Pitangueiras merged
3599929
Ribeirão Preto merged
3599930
Rosana merged
3599931
Santa Cruz do Rio Pardo merged
3599932
Santa Fé do Sul merged
3599933
Santo Anastácio merged
3599934
Santos merged
3599935
São José do Rio Preto merged
3599936
São Manuel merged
3599937
São Roque merged
3599938
Sumaré merged
3599939
Tatuí merged
3599940
Tietê merged
3599941
Tupã merged
3599942
Votuporanga merged
3599999
Rest of São Paulo
4101101
Andirá
4101408
Apucarana
4101507
Arapongas
4101606
Arapoti
4101804
Araucária
4102109
Astorga
4102406
Bandeirantes
4103602
Cambará
4103701
Cambé
4104006
Campina Grande do Sul
4104204
Campo Largo
4105508
Cianorte
4105805
Colombo
4105904
Colorado
4106407
Cornélio Procópio
4106506
Coronel Vivida
4106605
Cruzeiro do Oeste
4106902
Curitiba
4108403
Francisco Beltrão
4108809
Guaíra
4109609
Guaratuba
4109708
Ibaiti
4109807
Ibiporã
4110706
Irati
4111803
Jacarezinho
4112009
Jaguariaíva
4113205
Lapa
4114203
Mandaguari
4115200
Maringá
4115705
Matinhos
4116901
Nova Esperança
4117305
Ortigueira
4117503
Paiçandu
4117701
Palmeira
4118402
Paranavaí
4119400
Piraí do Sul
4120606
Prudentópolis
4122305
Rio Negro
4124103
Santo Antônio da Platina
4125506
São José dos Pinhais
4125605
São Mateus do Sul
4128005
Ubiratã
4128203
União da Vitória
4199901
Almirante Tamandaré merged
4199902
Altônia merged
4199903
Assis Chateaubriand merged
4199904
Campo Mourão merged
4199905
Capitão Leônidas Marques merged
4199906
Cascavel merged
4199907
Cerro Azul merged
4199908
Chopinzinho merged
4199909
Corbélia merged
4199910
Curiúva merged
4199911
Dois Vizinhos merged
4199912
Fazenda Rio Grande merged
4199913
Foz do Iguaçu merged
4199914
Goioerê merged
4199915
Guaraniaçu merged
4199916
Guarapuava merged
4199917
Imbituva merged
4199918
Iporã merged
4199919
Ivaiporã merged
4199920
Jesuítas merged
4199921
Laranjeiras do Sul merged
4199922
Londrina merged
4199923
Mamborê merged
4199924
Mangueirinha merged
4199925
Marechal Cândido Rondon merged
4199926
Marmeleiro merged
4199927
Medianeira merged
4199928
Palmas merged
4199929
Palmital merged
4199930
Palotina merged
4199931
Paranaguá merged
4199932
Pato Branco merged
4199933
Pinhais merged
4199934
Pinhão merged
4199935
Pitanga merged
4199936
Ponta Grossa merged
4199937
Quedas do Iguaçu merged
4199938
Rio Branco do Sul merged
4199939
Rolândia merged
4199940
Salto do Lontra merged
4199941
Santa Helena merged
4199942
Santo Antônio do Sudoeste merged
4199943
São João do Ivaí merged
4199944
São Miguel do Iguaçu merged
4199945
Sarandi merged
4199946
Telêmaco Borba merged
4199947
Tibagi merged
4199948
Três Barras do Paraná merged
4199949
Umuarama merged
4199999
Rest of Paraná
4202008
Balneário Camboriú
4202305
Biguaçu
4202404
Blumenau
4202800
Braço do Norte
4202909
Brusque
4203204
Camboriú
4205407
Florianópolis
4205506
Fraiburgo
4205902
Gaspar
4206504
Guaramirim
4206702
Herval d'Oeste
4207007
Içara
4207304
Imbituba
4208203
Itajaí
4208302
Itapema
4208906
Jaraguá do Sul
4209102
Joinville
4209409
Laguna
4210100
Mafra
4211306
Navegantes
4211702
Orleans
4211900
Palhoça
4213203
Pomerode
4213609
Porto União
4214805
Rio do Sul
4215000
Rio Negrinho
4215802
São Bento do Sul
4216206
São Francisco do Sul
4218004
Tijucas
4218202
Timbó
4299901
Anita Garibaldi merged
4299902
Araquari merged
4299903
Araranguá merged
4299904
Caçador merged
4299905
Campos Novos merged
4299906
Canoinhas merged
4299907
Chapecó merged
4299908
Concórdia merged
4299909
Criciúma merged
4299910
Curitibanos merged
4299911
Garuva merged
4299912
Ibirama merged
4299913
Indaial merged
4299914
Itaiópolis merged
4299915
Itapiranga merged
4299916
Ituporanga merged
4299917
Jaguaruna merged
4299918
Joaçaba merged
4299919
Lages merged
4299920
Santa Cecília merged
4299921
São Joaquim merged
4299922
São José merged
4299923
São Lourenço do Oeste merged
4299924
São Miguel do Oeste merged
4299925
Seara merged
4299926
Sombrio merged
4299927
Tubarão merged
4299928
Urussanga merged
4299929
Videira merged
4299930
Xanxerê merged
4299999
Rest of Santa Catarina
4300604
Alvorada
4302808
Caçapava do Sul
4303103
Cachoeirinha
4303905
Campo Bom
4304408
Canela
4304507
Canguçu
4305108
Caxias do Sul
4306601
Dom Pedrito
4307609
Estância Velha
4307708
Esteio
4307906
Farroupilha
4309100
Gramado
4310108
Igrejinha
4311007
Jaguarão
4313409
Novo Hamburgo
4313904
Panambi
4314902
Porto Alegre
4315305
Quaraí
4315602
Rio Grande
4316402
Rosário do Sul
4317103
Santana do Livramento
4317202
Santa Rosa
4318507
São José do Norte
4318705
São Leopoldo
4320008
Sapucaia do Sul
4322004
Triunfo
4322707
Vera Cruz
4399901
Alegrete merged
4399902
Arroio do Meio merged
4399903
Bagé merged
4399904
Butiá merged
4399905
Cachoeira do Sul merged
4399906
Canoas merged
4399907
Crissiumal merged
4399908
Cruz Alta merged
4399909
Dois Irmãos merged
4399910
Encantado merged
4399911
Erechim merged
4399912
Feliz merged
4399913
Flores da Cunha merged
4399914
Frederico Westphalen merged
4399915
Giruá merged
4399916
Gravataí merged
4399917
Guaíba merged
4399918
Guaporé merged
4399919
Horizontina merged
4399920
Ijuí merged
4399921
Itaqui merged
4399922
Júlio de Castilhos merged
4399923
Nonoai merged
4399924
Palmeira das Missões merged
4399925
Pelotas merged
4399926
Rio Pardo merged
4399927
Rolante merged
4399928
Sananduva merged
4399929
Santa Cruz do Sul merged
4399930
Santa Maria merged
4399931
Santa Vitória do Palmar merged
4399932
Santiago merged
4399933
Santo Ângelo merged
4399934
Santo Antônio da Patrulha merged
4399935
Santo Cristo merged
4399936
São Borja merged
4399937
São Francisco de Paula merged
4399938
São Gabriel merged
4399939
São Pedro do Sul merged
4399940
Sapiranga merged
4399941
Taquari merged
4399942
Tenente Portela merged
4399943
Torres merged
4399944
Três de Maio merged
4399945
Três Passos merged
4399946
Tuparendi merged
4399947
Uruguaiana merged
4399948
Veranópolis merged
4399949
Viamão merged
4399999
Rest of Rio Grande do Sul
5001102
Aquidauana
5002100
Bela Vista
5002704
Campo Grande
5003207
Corumbá
5005004
Jardim
5005400
Maracaju
5005707
Naviraí
5006200
Nova Andradina
5099901
Amambaí merged
5099902
Anastácio merged
5099903
Caarapó merged
5099904
Dourados merged
5099905
Fátima do Sul merged
5099906
Itaquiraí merged
5099907
Ivinhema merged
5099908
Miranda merged
5099909
Paranaíba merged
5099910
Ponta Porã merged
5099911
Sidrolândia merged
5099912
Três Lagoas merged
5099999
Rest of Mato Grosso do Sul
5103254
Colniza
5106505
Poconé
5107958
Tangará da Serra
5108402
Várzea Grande
5199901
Alta Floresta merged
5199902
Cáceres merged
5199903
Cuiabá merged
5199904
Guiratinga merged
5199905
Pontes e Lacerda merged
5199906
Rondonópolis merged
5199999
Rest of Mato Grosso
5200308
Alexânia
5201108
Anápolis
5205109
Catalão
5206206
Cristalina
5208608
Goianésia
5210000
Inhumas
5210109
Ipameri
5210208
Iporá
5210406
Itaberaí
5213103
Mineiros
5213806
Morrinhos
5214606
Niquelândia
5217401
Pires do Rio
5219308
Santa Helena de Goiás
5220108
São Luís de Montes Belos
5299901
Acreúna merged
5299902
Anicuns merged
5299903
Caiapônia merged
5299904
Caldas Novas merged
5299905
Ceres merged
5299906
Cocalzinho de Goiás merged
5299907
Crixás merged
5299908
Formosa merged
5299909
Goiânia merged
5299910
Goianira merged
5299911
Goiás merged
5299912
Goiatuba merged
5299913
Itapaci merged
5299914
Itapuranga merged
5299915
Itumbiara merged
5299916
Jaraguá merged
5299917
Jataí merged
5299918
Jussara merged
5299919
Luziânia merged
5299920
Mara Rosa merged
5299921
Minaçu merged
5299922
Padre Bernardo merged
5299923
Palmeiras de Goiás merged
5299924
Piracanjuba merged
5299925
Pirenópolis merged
5299926
Planaltina merged
5299927
Pontalina merged
5299928
Porangatu merged
5299929
Posse merged
5299930
Quirinópolis merged
5299931
Rio Verde merged
5299932
Rubiataba merged
5299933
Santa Terezinha de Goiás merged
5299934
São Miguel do Araguaia merged
5299935
Silvânia merged
5299999
Rest of Goiás
5300108
Brasília
Geography: A-L Variables -- HOUSEHOLD
Brazil, Metropolitan region
0
0
0
Not in metropolitan region
10
Manaus
20
Belém
30
Macapá
40
Grande São Luís
50
Suoeste Maranhense
60
Cariri
70
Fortaleza
80
Natal
90
Campina Grande
100
João Pessoa
110
Recife
120
Agreste
130
Maceió
140
Aracaju
150
Salvador
160
Belo Horizonte
169
Belt around the Belo Horizonte MR (Metropolitan Region)
170
Vale do Aço
179
Belt around Vale do Aço MR
180
Vitória
190
Rio de Janeiro
200
São Paulo
210
Santos Coastal Region
220
Campinas
230
Curitiba
240
Maringá
250
Londrina
260
Florianópolis
269
Metropolitan Expansion Area - Florianópolis MR
270
North/NE Santa Catarina
279
Metropolitan Expansion Area - North/NE Santa Catarina
280
Vale do Itajaí
290
Metropolitan expansion area of Vale do Itajaí
300
Carbonífera
310
Tubarão
320
Lages
330
Chapecó
340
Porto Alegre
350
Vale do Rio Cuiabá
360
Goiânia
370
Caxias do Sul
380
Pelotas
400
Distrito Federal and surroundings
410
Grande Terseina
420
Petrolina e Juazeiro
430
Undocumented
Geography: A-L Variables -- HOUSEHOLD
Land ownership
0
0
0
NIU (not in universe)
10
Land owned by a resident
11
Owned, fully paid for
12
Owned, still paying
13
Freehold tenure
14
Customary land
20
Land not owned
21
Rented
22
Ceded
23
Mailo land tenure
24
Free, occupied with consent
25
Free, occupied without consent
26
Free, consent not specified
27
Communal
28
Right to build
29
Right to use
30
Other, not specified
99
Unknown
Household Economic Variables -- HOUSEHOLD
Water supply
0
0
0
NIU (not in universe)
10
Yes, piped water
11
Piped inside dwelling
12
Piped, exclusively to this household
13
Piped, shared with other households
14
Piped outside the dwelling
15
Piped outside dwelling, in building
16
Piped within the building or plot of land
17
Piped outside the building or lot
18
Have access to public piped water
20
No piped water
99
Unknown
Utilities Variables -- HOUSEHOLD
Sewage
0
0
SEWAGE indicates whether the household has access to a sewage system or septic tank.
0
NIU (not in universe)
10
Connected to sewage system or septic tank
11
Sewage system (public sewage disposal)
12
Septic tank (private sewage disposal)
20
Not connected to sewage disposal system
99
Unknown
Utilities Variables -- HOUSEHOLD
Telephone availability
0
0
PHONE indicates the availability of a telephone in the dwelling.
0
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
Utilities Variables -- HOUSEHOLD
Trash disposal
0
0
This variable indicates whether the household's waste or garbage is collected by a sanitation service or disposed of in some other manner.
0
NIU (not in universe)
10
Collected by a sanitation service
11
Collected directly from the household or dwelling
12
Collected indirectly from a garbage container or deposit
13
Collected by a sanitation service only
14
Collected by a sanitation service and disposed of in some other manner
20
Disposed of in some other manner
21
Burned or buried
22
Burned
23
Buried
24
Thrown into street, vacant land, or common area
25
Thrown into river, lake, ocean, lagoon, etc.
26
Thrown into canyon or gulley
27
Dumped in pit
28
Communal refuse dump
29
Own refuse dump
30
Authorized refuse dump
31
Illegal refuse dump
32
Other dumping
33
Outside
34
In the fields
35
Fed to animals
36
Composted
37
Heap
38
Garden
39
Other, none
99
Unknown/missing
Utilities Variables -- HOUSEHOLD
Automobiles available
0
0
AUTOS records whether a member of the household owned or had use of a vehicle and, in many samples, the number of such vehicles.
0
No autos
1
1 auto
2
2 autos
3
3 autos
4
4 autos
5
5 autos
6
6+ autos
7
Have auto, number unspecified
8
Unknown
9
NIU (not in universe)
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Air conditioning
0
0
This variable indicates whether the household had air conditioning.
0
NIU (not in universe)
10
No air conditioning
20
Yes, air conditioning
21
1 unit or room
22
2 units or rooms
23
3 units or rooms
24
4 units or rooms
25
5 units or rooms
26
6 units or rooms
27
7 units or rooms
28
8 or more units or rooms
29
Central system
99
Unknown
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Clothes washing machine
0
0
WASHER indicates whether the household had a clothes washing machine.
0
NIU (not in universe)
1
No
2
Yes
3
Automatic or semi-automatic
4
Wringer or other non-automatic
9
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Refrigerator
0
0
REFRIG indicates whether the household had a refrigerator.
0
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Television set
0
0
TV indicates whether the household had a television.
0
NIU (not in universe)
10
No
20
Yes, color or black-and-white not specified
21
1 television
22
2 televisions
23
3 televisions
24
4 televisions
25
5 televisions
26
6 televisions
27
7 televisions
28
8 televisions
29
9+ televisions
30
Yes, color only
31
1 color tv
32
2 color tvs
33
3+ color tvs
40
Yes, black-and-white only
41
1 black-white tv
42
2 black-white tvs
43
3+ black-white tvs
50
Yes, both color and black-and-white
52
2+ color and black-white tvs
53
3+ color and black-white tvs
54
4+ color and black-white tvs
99
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Videocassette recorder
0
0
VCR indicates whether the household had a videocassette recorder or similar device.
0
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Radio in household
0
0
RADIO indicates whether the household had a radio.
0
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Number of rooms
0
0
ROOMS indicates the number of rooms occupied by the housing unit.
0
Part of a room; no rooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
Dwelling Characteristics Variables -- HOUSEHOLD
Bathing facilities
0
0
BATH indicates whether the household had access to bathing facilities and, in most cases, whether it had exclusive access.
0
NIU (not in universe)
1
No bathing facility
2
Have bathing facility, exclusivity not specified
3
Have bathing facility, exclusive use
4
Have bathing facility, shared use
9
Unknown
Dwelling Characteristics Variables -- HOUSEHOLD
Household classification
0
0
0
Vacant household
1
One-person household
2
Married/cohab couple, no children
3
Married/cohab couple with children
4
Single-parent family
5
Polygamous family
6
Extended family, relatives only
7
Composite household, family and non-relatives
8
Non-family household
9
Unclassified subfamily
10
Other relative or non-relative household
11
Group quarters
99
Unclassifiable
Constructed Household Variables -- HOUSEHOLD
Number of families in household
0
0
0
Vacant household
1
1 family
2
2 families
3
3 families
4
4 families
5
5 families
6
6 families
7
7 families
8
8 families
9
9 or more families
Constructed Household Variables -- HOUSEHOLD
Head's location in household
0
0
HEADLOC gives the person number of the head of household in samples in which persons are organized into households.
This is a 3-digit numeric variable with 0 implied decimal places
Constructed Household Variables -- HOUSEHOLD
1st subnational geographic level, world [consistent boundaries over time]
0
0
32002
City of Buenos Aires [Province: Argentina]
32006
Buenos Aires province [Province: Argentina]
32010
Catamarca [Province: Argentina]
32014
Córdoba [Province: Argentina]
32018
Corrientes [Province: Argentina]
32022
Chaco [Province: Argentina]
32026
Chubut [Province: Argentina]
32030
Entre Ríos [Province: Argentina]
32034
Formosa [Province: Argentina]
32038
Jujuy [Province: Argentina]
32042
La Pampa [Province: Argentina]
32046
La Rioja [Province: Argentina]
32050
Mendoza [Province: Argentina]
32054
Misiones [Province: Argentina]
32058
Neuquén [Province: Argentina]
32062
Río Negro [Province: Argentina]
32066
Salta [Province: Argentina]
32070
San Juan [Province: Argentina]
32074
San Luis [Province: Argentina]
32078
Santa Cruz [Province: Argentina]
32082
Santa Fe [Province: Argentina]
32086
Santiago del Estero [Province: Argentina]
32090
Tucumán [Province: Argentina]
32094
Tierra del Fuego [Province: Argentina]
32099
Unknown [Province: Argentina]
40011
Burgenland [State: Austria]
40012
Niederösterreich [State: Austria]
40013
Wien [State: Austria]
40021
Kärnten [State: Austria]
40022
Steiermark [State: Austria]
40031
Oberösterreich [State: Austria]
40032
Salzburg [State: Austria]
40033
Tirol [State: Austria]
40034
Vorarlberg [State: Austria]
50010
Barisal [Division, Bangladesh]
50020
Chittagong [Division, Bangladesh]
50030
Dhaka [Division, Bangladesh]
50040
Khulna [Division, Bangladesh]
50050
Rajshahi, Rangpur [Division, Bangladesh]
50060
Sylhet [Division, Bangladesh]
51901
Yerevan [Province: Armenia]
51902
Aragatsotn [Province: Armenia]
51903
Ararat [Province: Armenia]
51904
Armavir [Province: Armenia]
51905
Gegharkunik [Province: Armenia]
51906
Lori [Province: Armenia]
51907
Kotayk [Province: Armenia]
51908
Shirak [Province: Armenia]
51909
Syunik [Province: Armenia]
51910
Vayots Dzor [Province: Armenia]
51911
Tavush [Province: Armenia]
68001
Chuquisaca [Department: Bolivia]
68002
La Paz [Department: Bolivia]
68003
Cochabamba [Department: Bolivia]
68004
Oruro [Department: Bolivia]
68005
Potosí [Department: Bolivia]
68006
Tarija [Department: Bolivia]
68007
Santa Cruz [Department: Bolivia]
68008
Beni [Department: Bolivia]
68009
Pando [Department: Bolivia]
76011
Rondonia [State: Brazil]
76012
Acre [State: Brazil]
76013
Amazonas [State: Brazil]
76014
Roraima [State: Brazil]
76015
Pará [State: Brazil]
76016
Amapa [State: Brazil]
76021
Maranhao [State: Brazil]
76022
Piauí [State: Brazil]
76023
Ceará [State: Brazil]
76024
Rio Grande do Norte [State: Brazil]
76025
Paraiba [State: Brazil]
76026
Pernambuco [State: Brazil]
76027
Alagoas [State: Brazil]
76028
Sergipe [State: Brazil]
76029
Bahia [State: Brazil]
76031
Minas Gerais [State: Brazil]
76032
Espírito Santo [State: Brazil]
76033
Rio de Janeiro [State: Brazil]
76035
São Paulo [State: Brazil]
76041
Parana [State: Brazil]
76042
Santa Catarina [State: Brazil]
76043
Rio Grande do Sul [State: Brazil]
76051
Mato Grosso, Mato Grosso do Sul [State: Brazil]
76052
Goiás and Tocantins [State: Brazil]
76053
Distrito Federal [State: Brazil]
112001
Brest [Region: Belarus]
112002
Vitebsk [Region: Belarus]
112003
Gomel [Region: Belarus]
112004
Grodno [Region: Belarus]
112006
Minsk [Region: Belarus]
112007
Mogilev [Region: Belarus]
116001
Banteay Meanchey [Province: Cambodia]
116002
Battambang [Province: Cambodia]
116003
Kampong Cham [Province: Cambodia]
116004
Kampong Chhnang [Province: Cambodia]
116005
Kampong Speu [Province: Cambodia]
116006
Kampong Thom [Province: Cambodia]
116007
Kampot [Province: Cambodia]
116008
Kandal [Province: Cambodia]
116009
Koh Kong [Province: Cambodia]
116010
Kratie [Province: Cambodia]
116011
Mondul Kiri [Province: Cambodia]
116012
Phnom Penh [Province: Cambodia]
116013
Preah Vihear [Province: Cambodia]
116014
Prey Veng [Province: Cambodia]
116015
Pursat [Province: Cambodia]
116016
Rotanak Kiri [Province: Cambodia]
116017
Siem Reap and Otdar Meanchey [Province: Cambodia]
116018
Preah Sihanouk [Province: Cambodia]
116019
Stung Treng [Province: Cambodia]
116020
Svay Rieng [Province: Cambodia]
116021
Takeo [Province: Cambodia]
116023
Kep [Province: Cambodia]
116024
Pailin [Province: Cambodia]
120002
Centre, Sud [Province: Cameroon]
120003
Est [Province: Cameroon]
120004
Nord, Adamoua , Extrème Nord [Province: Cameroon]
120005
Littoral [Province: Cameroon]
120007
Nord Ouest [Province: Cameroon]
120008
Ouest [Province: Cameroon]
120010
Sud Ouest [Province: Cameroon]
124010
Newfoundland and Labrador [Province: Canada]
124011
Prince Edward Island, Yukon, Northwest Territories, and Nunavut [Province: Canada]
124012
Nova Scotia [Province: Canada]
124013
New Brunswick [Province: Canada]
124024
Quebec [Province: Canada]
124035
Ontario [Province: Canada]
124046
Manitoba [Province: Canada]
124047
Saskatchewan [Province: Canada]
124048
Alberta [Province: Canada]
124059
British Columbia [Province: Canada]
152002
Antofagasta and Tarapacá [Region: Chile]
152004
Atacama and Coquimbo [Region: Chile]
152007
Del Maule [Region: Chile]
152008
Del Biobio [Region: Chile]
152009
La Araucanía [Region: Chile]
152010
Aysen del Gral Carlos Ibáñez del Campo and Los Lagos [Region: Chile]
152012
Magallanes and La Antártica Chilena [Region: Chile]
152013
Libertador General Bernardo O"Higgins, Metropolitana de Santiago, and Valparaiso [Region: Chile]
152099
Unknown [Region: Chile]
156011
Beijing (municipality) [Province: China]
156012
Tianjin (municipality) [Province: China]
156013
Hebei [Province: China]
156014
Shanxi [Province: China]
156015
Inner Mongolia [Province: China]
156021
Liaoning [Province: China]
156022
Jilin [Province: China]
156023
Heilongjiang [Province: China]
156031
Shanghai (municipality) [Province: China]
156032
Jiangsu [Province: China]
156033
Zhejiang [Province: China]
156034
Anhui [Province: China]
156035
Fujian [Province: China]
156036
Jiangxi [Province: China]
156037
Shangdong [Province: China]
156041
Henan [Province: China]
156042
Hubei [Province: China]
156043
Hunan [Province: China]
156044
Guangdong and Hainan [Province: China]
156045
Guangxi [Province: China]
156051
Sichuan [Province: China]
156052
Guizhou [Province: China]
156053
Yunnan [Province: China]
156054
Tibet [Province: China]
156061
Shaanxi [Province: China]
156062
Gansu [Province: China]
156063
Qinghai [Province: China]
156064
Ningxia [Province: China]
156065
Xinjiang [Province: China]
170005
Antioquia [Department: Colombia]
170008
Atlántico [Department: Colombia]
170011
Bogotá [Department: Colombia]
170013
Bolívar and Sucre [Department: Colombia]
170015
Boyacá and Casanare [Department: Colombia]
170018
Caquetá [Department: Colombia]
170019
Cauca [Department: Colombia]
170023
Córdoba [Department: Colombia]
170025
Cundinamarca [Department: Colombia]
170027
Chocó [Department: Colombia]
170041
Huila [Department: Colombia]
170044
La Guajira [Department: Colombia]
170047
Cesar and Magdalena [Department: Colombia]
170050
Meta and Vichada [Department: Colombia]
170052
Nariño [Department: Colombia]
170054
Norte de Santander [Department: Colombia]
170066
Caldas, Quindío, and Risaralda [Department: Colombia]
170068
Santander [Department: Colombia]
170073
Tolima [Department: Colombia]
170076
Valle [Department: Colombia]
170081
Arauca [Department: Colombia]
170086
Putumayo [Department: Colombia]
170088
San Andrés [Department: Colombia]
170091
Amazonas [Department: Colombia]
170095
Guaviare, Vaupés, and Guainía [Department: Colombia]
188001
San José [Province: Costa Rica]
188002
Alajuela [Province: Costa Rica]
188003
Cartago [Province: Costa Rica]
188004
Heredia [Province: Costa Rica]
188005
Guanacaste [Province: Costa Rica]
188006
Puntarenas [Province: Costa Rica]
188007
Limón [Province: Costa Rica]
192001
Pinar del Río [Province: Cuba]
192002
La Habana [Province: Cuba]
192003
Ciudad de la Habana [Province: Cuba]
192004
Matanzas [Province: Cuba]
192005
Villa Clara [Province: Cuba]
192006
Cienfuegos [Province: Cuba]
192007
Sancti Spiritus [Province: Cuba]
192008
Ciego de Avila [Province: Cuba]
192009
Camagüey [Province: Cuba]
192010
Las Tunas [Province: Cuba]
192011
Holguín [Province: Cuba]
192012
Granma [Province: Cuba]
192013
Santiago de Cuba [Province: Cuba]
192014
Guantánamo [Province: Cuba]
192099
Isla de la Juventud [Province: Cuba]
214001
Federal district and Santo Domingo [Province: Dominican Republic]
214002
Azua [Province: Dominican Republic]
214003
Baoruco [Province: Dominican Republic]
214004
Barahona [Province: Dominican Republic]
214005
Dajabón [Province: Dominican Republic]
214006
Duarte [Province: Dominican Republic]
214007
Elías Piña [Province: Dominican Republic]
214008
El Seibo and Hato Mayor [Province: Dominican Republic]
214009
Espaillat [Province: Dominican Republic]
214010
Independencia [Province: Dominican Republic]
214011
La Altagracia and La Romana [Province: Dominican Republic]
214013
La Vega and Monseñor Nouel [Province: Dominican Republic]
214014
María Trinidad Sánchez and Samaná [Province: Dominican Republic]
214015
Monte Cristi [Province: Dominican Republic]
214016
Pedernales [Province: Dominican Republic]
214017
Peravia and San José de Ocoa [Province: Dominican Republic]
214018
Puerto Plata [Province: Dominican Republic]
214019
Hermanas Mirabal [Province: Dominican Republic]
214021
San Cristóbal and Monte Plata [Province: Dominican Republic]
214022
San Juan [Province: Dominican Republic]
214023
San Pedro de Macorís [Province: Dominican Republic]
214024
Sánchez Ramírez [Province: Dominican Republic]
214025
Santiago [Province: Dominican Republic]
214026
Santiago Rodríguez [Province: Dominican Republic]
214027
Valverde [Province: Dominican Republic]
218001
Azuay [Province: Ecuador]
218002
Bolívar [Province: Ecuador]
218004
Carchi [Province: Ecuador]
218005
Cotopaxi [Province: Ecuador]
218006
Chimborazo [Province: Ecuador]
218007
El Oro [Province: Ecuador]
218009
Cañar, Esmeraldas, Guayas, Manabí, Manga del Cura [Disputed canton], Pichincha, El Piedrero [Disputed canton], Los Ríos, Santa Elena, Santo Domingo de las Tsáchilas, Galápagos [Disputed canton], Pichincha, El Piedrero
218010
Imbabura, Las Golondrinas [Disputed canton] [Disputed canton]
218011
Loja [Province: Ecuador]
218014
Morona Santiago [Province: Ecuador]
218016
Pastaza [Province: Ecuador]
218018
Tungurahua [Province: Ecuador]
218019
Zamora Chinchipe [Province: Ecuador]
218021
Napo, Orellana, Sucumbíos [Province: Ecuador]
218099
Unknown [Province: Ecuador]
222001
Ahuachapán [Department: El Salvador]
222002
Santa Ana [Department: El Salvador]
222003
Sonsonate [Department: El Salvador]
222004
Chalatenango [Department: El Salvador]
222005
La Libertad [Department: El Salvador]
222006
San Salvador [Department: El Salvador]
222007
Cuscatlán [Department: El Salvador]
222008
La Paz [Department: El Salvador]
222009
Cabañas [Department: El Salvador]
222010
San Vicente [Department: El Salvador]
222011
Usulután [Department: El Salvador]
222012
San Miguel [Department: El Salvador]
222013
Morazán [Department: El Salvador]
222014
La Unión [Department: El Salvador]
231001
Tigray [Region: Ethiopia]
231002
Affar [Region: Ethiopia]
231003
Amhara [Region: Ethiopia]
231004
Oromiya [Region: Ethiopia]
231005
Somali [Region: Ethiopia]
231006
Benishangul-Gumz [Region: Ethiopia]
231007
Southern Nations, Nationalities, and People (SNPP) [Region: Ethiopia]
231012
Gambela [Region: Ethiopia]
231013
Harari [Region: Ethiopia]
231014
Addis Ababa [Region: Ethiopia]
231015
Dire Dawa [Region: Ethiopia]
231017
Special region [Region: Ethiopia]
238094
Falkland Islands [Province: Argentina]
239094
South Georgia and South Sandwich Islands [Province: Argentina]
242001
Ba [Province: Fiji]
242003
Bua, Cakaudrove [Province: Fiji]
242006
Kadavu, Lau, Lomaiviti, Rotuma [Province: Fiji]
242007
Macuata [Province: Fiji]
242008
Nadroha [Province: Fiji]
242009
Naitasiri, Rewa [Province: Fiji]
242011
Ra [Province: Fiji]
242014
Serua, Namosi [Province: Fiji]
242015
Tailevu [Province: Fiji]
242099
Ships, unknown [Province: Fiji]
250001
Guadeloupe [Oversea Department, France]
250002
Martinique [Oversea Department, France]
250003
French Guyana [Oversea Department, France]
250004
Réunion Island [Oversea Department, France]
250011
Île-de-France [Region: France]
250021
Champagne-Ardenne [Region: France]
250022
Picardy [Region: France]
250023
Upper Normandy [Region: France]
250024
Centre [Region: France]
250025
Lower Normandy [Region: France]
250026
Burgundy [Region: France]
250031
North Pas-de-Calais [Region: France]
250041
Lorraine [Region: France]
250042
Alsace [Region: France]
250043
Franche-Comté [Region: France]
250052
Loire Valley [Region: France]
250053
Brittany [Region: France]
250054
Poitou-Charentes [Region: France]
250072
Aquitaine [Region: France]
250073
Midi-Pyrénées [Region: France]
250074
Limousin [Region: France]
250082
Rhône-Alpes [Region: France]
250083
Auvergne [Region: France]
250091
Languedoc-Roussillon [Region: France]
250093
Provence-Alpes-Riviera [Region: France]
250094
Corsica [Region: France]
250999
Unknown [Region: France]
275001
Jenin [Governorate: Palestine]
275005
Tubas [Governorate: Palestine]
275010
Tulkarm [Governorate: Palestine]
275015
Nablus [Governorate: Palestine]
275020
Qalqiliya [Governorate: Palestine]
275025
Salfit [Governorate: Palestine]
275030
Ramallah and Al-Bireh [Governorate: Palestine]
275035
Jericho [Governorate: Palestine]
275040
Jerusalem [Governorate: Palestine]
275045
Bethlehem [Governorate: Palestine]
275050
Hebron [Governorate: Palestine]
275055
North Gaza [Governorate: Palestine]
275060
Gaza [Governorate: Palestine]
275065
Deir Al-Balah [Governorate: Palestine]
275070
Khan Yunis [Governorate: Palestine]
275075
Rafah [Governorate: Palestine]
276001
Schleswig-Holstein [State: Germany]
276002
Hamburg [State: Germany]
276003
Niedersachsen [State: Germany]
276004
Bremen [State: Germany]
276005
Nordrhein-Westfalen [State: Germany]
276006
Hessen [State: Germany]
276007
Rheinland-Pfalz [State: Germany]
276008
Baden-Württemberg [State: Germany]
276009
Bayern [State: Germany]
276010
Saarland [State: Germany]
276012
Brandenburg [State: Germany]
276013
Mecklenburg-West Pomerania [State: Germany]
276014
Saxony [State: Germany]
276015
Saxony-Anhalt [State: Germany]
276016
Thuringia [State: Germany]
276017
East Berlin [State: Germany]
276018
West Berlin [State: Germany]
276099
NIU (Not in universe) [State: Germany]
288001
Western [Region: Ghana]
288002
Central [Region: Ghana]
288003
Greater Accra [Region: Ghana]
288004
Volta [Region: Ghana]
288005
Eastern [Region: Ghana]
288006
Ashanti [Region: Ghana]
288007
Brong Ahafo [Region: Ghana]
288008
Northern [Region: Ghana]
288009
Upper East [Region: Ghana]
288010
Upper West [Region: Ghana]
300001
Etolia and Akarnania [Department: Greece]
300003
Viotia [Department: Greece]
300004
Evia [Department: Greece]
300005
Evrytania [Department: Greece]
300006
Fthiotida [Department: Greece]
300007
Fokida [Department: Greece]
300011
Argolida [Department: Greece]
300012
Arkadia [Department: Greece]
300013
Achaia [Department: Greece]
300014
Ilia [Department: Greece]
300015
Korinthia [Department: Greece]
300016
Lakonia [Department: Greece]
300017
Messinia [Department: Greece]
300021
Zakynthos [Department: Greece]
300022
Kerkyra [Department: Greece]
300023
Kefallinia [Department: Greece]
300024
Lefkada [Department: Greece]
300031
Arta [Department: Greece]
300032
Thesprotia [Department: Greece]
300033
Ioannina [Department: Greece]
300034
Preveza [Department: Greece]
300041
Karditsa [Department: Greece]
300042
Larissa [Department: Greece]
300043
Magnissia [Department: Greece]
300044
Trikala [Department: Greece]
300051
Grevena [Department: Greece]
300052
Drama [Department: Greece]
300053
Imathia [Department: Greece]
300054
Thessaloniki [Department: Greece]
300055
Kavala [Department: Greece]
300056
Kastoria [Department: Greece]
300057
Kilkis [Department: Greece]
300058
Kozani [Department: Greece]
300059
Pella [Department: Greece]
300061
Pieria [Department: Greece]
300062
Serres [Department: Greece]
300063
Florina [Department: Greece]
300064
Chalkidiki and Aghion Oros [Department: Greece]
300071
Evros [Department: Greece]
300072
Xanthi [Department: Greece]
300073
Rodopi [Department: Greece]
300081
Dodekanissos [Department: Greece]
300082
Kyklades [Department: Greece]
300083
Lesvos [Department: Greece]
300084
Samos [Department: Greece]
300085
Chios [Department: Greece]
300091
Iraklio [Department: Greece]
300092
Lassithi [Department: Greece]
300093
Rethymno [Department: Greece]
300094
Chania [Department: Greece]
300101
Prefecture of Athens [Department: Greece]
300102
Prefecture of East Attiki [Department: Greece]
300103
Prefecture of West Attiki [Department: Greece]
300104
Prefecture of Pireas [Department: Greece]
324001
Boké [Region: Guinea]
324002
Faranah [Region: Guinea]
324003
Kankan [Region: Guinea]
324004
Kindia, Labe, Mamou [Region: Guinea]
324007
N'zerekore [Region: Guinea]
324008
Conakry [Region: Guinea]
332003
Nord (North) and Nord'est (North East) [Department: Haiti]
332006
Centre (Central), L'Artibonite, Ouest (West), Sud'Est (South East) [Department: Haiti]
332007
Grand'Anse, Nippes, Sud (South) [Department: Haiti]
332009
Nord'Ouest (North West) [Department: Haiti]
356001
Jammu and Kashmir [State: India]
356002
Himachal Pradesh [State: India]
356003
Punjab [State: India]
356004
Chandigarh [State: India]
356006
Haryana [State: India]
356007
Delhi [State: India]
356008
Rajasthan [State: India]
356009
Uttar Pradesh and Uttaranchal [State: India]
356010
Bihar and Jharkhand [State: India]
356011
Sikkim [State: India]
356012
Arunachal Pradesh [State: India]
356013
Nagaland [State: India]
356014
Manipur [State: India]
356015
Mizoram [State: India]
356016
Tripura [State: India]
356017
Meghalaya [State: India]
356018
Assam [State: India]
356019
West Bengal [State: India]
356021
Orissa [State: India]
356023
Chhattisgarh and Madhya Pradesh [State: India]
356024
Gujarat [State: India]
356026
Dadra and Nagar Haveli [State: India]
356027
Maharashtra [State: India]
356028
Andhra Pradesh [State: India]
356029
Karnataka [State: India]
356030
Daman and Diu and Goa [State: India]
356031
Lakshadweep [State: India]
356032
Kerala [State: India]
356033
Tamil Nadu [State: India]
356034
Pondicherry [State: India]
356035
Andaman and Nicobar Islands [State: India]
360011
Nanggroe Aceh Darussalam [Province: Indonesia]
360012
Sumatera Utara [Province: Indonesia]
360013
Sumatera Barat [Province: Indonesia]
360014
Riau and Kepulauan Riau [Province: Indonesia]
360015
Jambi [Province: Indonesia]
360016
Sumatera Selatan and Bangka Belitung [Province: Indonesia]
360017
Bengkulu [Province: Indonesia]
360018
Lampung [Province: Indonesia]
360031
DKI Jakarta [Province: Indonesia]
360032
West Java and Banten [Province: Indonesia]
360033
Jawa Tengah [Province: Indonesia]
360034
DI Yogyakarta [Province: Indonesia]
360035
Jawa Timur [Province: Indonesia]
360051
Bali [Province: Indonesia]
360052
Nusa Tenggara Barat [Province: Indonesia]
360053
East Nusa Tenggara [Province: Indonesia]
360061
Kalimantan Barat [Province: Indonesia]
360062
Kalimantan Tengah [Province: Indonesia]
360063
Kalimantan Selatan [Province: Indonesia]
360064
Kalimantan Timur [Province: Indonesia]
360071
Sulawesi Utara and Gorontalo [Province: Indonesia]
360072
Sulawesi Tengah [Province: Indonesia]
360073
Sulawesi Selatan, Sulawesi Tenggara and Sulawesi Barat [Province: Indonesia]
360081
Maluku and Maluku Utara [Province: Indonesia]
360094
Papua and Papua Barat [Province: Indonesia]
364000
Markazi [Province: Iran]
364001
Gilan [Province: Iran]
364002
Mazandaran [Province: Iran]
364003
East Azarbayejan [Province: Iran]
364004
West Azarbayejan [Province: Iran]
364005
Kermanshah [Province: Iran]
364006
Khuzestan [Province: Iran]
364007
Fars [Province: Iran]
364008
Kerman [Province: Iran]
364009
Khorasan-e- Razavi [Province: Iran]
364010
Esfahan [Province: Iran]
364011
Sistan and Baluchestan [Province: Iran]
364012
Kordestan [Province: Iran]
364013
Hamedan [Province: Iran]
364014
Chaharmahal and Bakhtiyari [Province: Iran]
364015
Lorestan [Province: Iran]
364016
Ilam [Province: Iran]
364017
Kohgiluyeh and Boyerahmad [Province: Iran]
364018
Bushehr [Province: Iran]
364019
Zanjan [Province: Iran]
364020
Semnan [Province: Iran]
364021
Yazd [Province: Iran]
364022
Hormozgan [Province: Iran]
364023
Tehran [Province: Iran]
364024
Ardebil [Province: Iran]
364025
Qom [Province: Iran]
364026
Qazvin [Province: Iran]
364027
Golestan [Province: Iran]
364028
North Khorasan [Province: Iran]
364029
South Khorasan [Province: Iran]
368011
Dhok [Governorate: Iraq]
368012
Nineveh [Governorate: Iraq]
368013
Al-Sulaimaniya [Governorate: Iraq]
368014
Al-Tameem [Governorate: Iraq]
368015
Arbil [Governorate: Iraq]
368021
Diala [Governorate: Iraq]
368022
Al-Anbar [Governorate: Iraq]
368023
Baghdad [Governorate: Iraq]
368024
Babylon [Governorate: Iraq]
368025
Kerbela [Governorate: Iraq]
368026
Wasit [Governorate: Iraq]
368027
Salah Al-Deen [Governorate: Iraq]
368028
Al-Najaf [Governorate: Iraq]
368031
Al-Qadisiya [Governorate: Iraq]
368032
Al-Muthanna [Governorate: Iraq]
368033
Thi-Qar [Governorate: Iraq]
368034
Maysan [Governorate: Iraq]
368035
Al-Basrah [Governorate: Iraq]
372001
Border [Region: Ireland]
372002
Dublin [Region: Ireland]
372003
Mid-East [Region: Ireland]
372004
Midlands [Region: Ireland]
372005
Mid-West [Region: Ireland]
372006
South-East [Region: Ireland]
372007
South-West [Region: Ireland]
372008
West [Region: Ireland]
376001
Jerusalem [District: Israel]
376002
Northern [District: Israel]
376003
Haifa [District: Israel]
376004
Central [District: Israel]
376005
Tel-Aviv [District: Israel]
376006
Southern [District: Israel]
376009
Judea, Samaria, and Gaza areas [District: Israel]
380001
Piemonte-Valle d'Aosta [Region: Italy]
380003
Lombardia [Region: Italy]
380004
Trentino-Alto Adige [Region: Italy]
380005
Veneto [Region: Italy]
380006
Friuli-Venezia Giulia [Region: Italy]
380007
Liguria [Region: Italy]
380008
Emilia-Romagna [Region: Italy]
380009
Toscana [Region: Italy]
380010
Umbria [Region: Italy]
380011
Marche [Region: Italy]
380012
Lazio [Region: Italy]
380013
Abruzzo [Region: Italy]
380014
Molise [Region: Italy]
380015
Campania [Region: Italy]
380016
Puglia [Region: Italy]
380017
Basilicata [Region: Italy]
380018
Calabria [Region: Italy]
380019
Sicilia [Region: Italy]
380020
Sardegna [Region: Italy]
388001
Kingston [Parish: Jamaica]
388002
Saint Andrew [Parish: Jamaica]
388003
Saint Thomas [Parish: Jamaica]
388004
Portland [Parish: Jamaica]
388005
Saint Mary [Parish: Jamaica]
388006
Saint Ann [Parish: Jamaica]
388007
Trelawny [Parish: Jamaica]
388008
Saint James [Parish: Jamaica]
388009
Hanover [Parish: Jamaica]
388010
Westmoreland [Parish: Jamaica]
388011
Saint Elizabeth [Parish: Jamaica]
388012
Manchester [Parish: Jamaica]
388013
Clarendon [Parish: Jamaica]
388014
Saint Catherine [Parish: Jamaica]
400011
Amman [Governorate: Jordan]
400012
Balqa [Governorate: Jordan]
400013
Zarqa [Governorate: Jordan]
400014
Madaba [Governorate: Jordan]
400021
Irbid [Governorate: Jordan]
400022
Mafraq [Governorate: Jordan]
400023
Jarash [Governorate: Jordan]
400024
Ajlun [Governorate: Jordan]
400031
Karak [Governorate: Jordan]
400032
Tafilah [Governorate: Jordan]
400033
Ma'an [Governorate: Jordan]
400034
Aqaba [Governorate: Jordan]
404001
Nairobi [Province: Kenya]
404002
Central Province [Province: Kenya]
404003
Coast Province [Province: Kenya]
404004
Eastern Province [Province: Kenya]
404005
North-Eastern Province [Province: Kenya]
404006
Nyanza Province [Province: Kenya]
404007
Rift Valley Province [Province: Kenya]
404008
Western Province [Province: Kenya]
417001
Gorkenesh Bishkek [Region: Kyrgyz Republic]
417002
Issyk-Kul [Region: Kyrgyz Republic]
417003
Dzhalal-Abad [Region: Kyrgyz Republic]
417004
Naryn [Region: Kyrgyz Republic]
417005
Batken [Region: Kyrgyz Republic]
417006
Oshskaya [Region: Kyrgyz Republic]
417007
Talasskaya [Region: Kyrgyz Republic]
417008
Chuya [Region: Kyrgyz Republic]
430006
Bong [County: Liberia]
430009
Grand Bassa and Rivercess [County: Liberia]
430012
Grand Cape Mount [County: Liberia]
430015
Grand Gedeh and River Gee [County: Liberia]
430021
Lofa and Gbarpolu [County: Liberia]
430027
Maryland and Grand Kru [County: Liberia]
430030
Montserrado, Bomi, and Margibi [County: Liberia]
430033
Nimba [County: Liberia]
430039
Sinoe [County: Liberia]
454101
Chitipa [District: Malawi]
454102
Karonga [District: Malawi]
454103
Nkhata Bay, Likoma [District: Malawi]
454104
Rumphi [District: Malawi]
454105
Mzimba, Mzuzu city [District: Malawi]
454201
Kasungu [District: Malawi]
454202
Nkhota Kota [District: Malawi]
454203
Ntchisi [District: Malawi]
454204
Dowa [District: Malawi]
454205
Salima [District: Malawi]
454206
Lilongwe [District: Malawi]
454207
Mchinji [District: Malawi]
454208
Dedza [District: Malawi]
454209
Ntcheu [District: Malawi]
454301
Mangochi [District: Malawi]
454302
Machinga [District: Malawi]
454303
Zomba [District: Malawi]
454304
Chiradzulu [District: Malawi]
454305
Blantyre [District: Malawi]
454307
Thyolo [District: Malawi]
454308
Mulanje [District: Malawi]
454310
Chikwawa [District: Malawi]
454311
Nsanje [District: Malawi]
454313
Mwanza, Neno [District: Malawi]
458001
Johor [State: Malaysia]
458002
Kedah [State: Malaysia]
458003
Kelantan [State: Malaysia]
458004
Melaka [State: Malaysia]
458005
Negeri Sembilan [State: Malaysia]
458006
Pahang [State: Malaysia]
458007
Pulau Pinang [State: Malaysia]
458008
Perak [State: Malaysia]
458009
Perlis [State: Malaysia]
458010
Selangor and Kuala Lumpur Federal Territory [State: Malaysia]
458011
Terengganu [State: Malaysia]
458012
Sabah and Labuan Federal Territory [State: Malaysia]
458013
Sarawak [State: Malaysia]
466001
Kayes [Region: Mali]
466002
Koulikoro [Region: Mali]
466003
Sikasso [Region: Mali]
466004
Ségou [Region: Mali]
466005
Mopti [Region: Mali]
466006
Tombouctou [Region: Mali]
466007
Gao and Kidal [Region: Mali]
466009
Bamako [Region: Mali]
466099
Unknown [Region: Mali]
484001
Aguascalientes [State: Meico]
484002
Baja California [State: Meico]
484003
Baja California Sur [State: Meico]
484004
Campeche [State: Meico]
484005
Coahuila [State: Meico]
484006
Colima [State: Meico]
484007
Chiapas [State: Meico]
484008
Chihuahua [State: Meico]
484009
Distrito Federal [State: Meico]
484010
Durango [State: Meico]
484011
Guanajuato [State: Meico]
484012
Guerrero [State: Meico]
484013
Hidalgo [State: Meico]
484014
Jalisco [State: Meico]
484015
México [State: Meico]
484016
Michoacán [State: Meico]
484017
Morelos [State: Meico]
484018
Nayarit [State: Meico]
484019
Nuevo León [State: Meico]
484020
Oaxaca [State: Meico]
484021
Puebla [State: Meico]
484022
Querétaro [State: Meico]
484023
Quintana Roo [State: Meico]
484024
San Luis Potosí [State: Meico]
484025
Sinaloa [State: Meico]
484026
Sonora [State: Meico]
484027
Tabasco [State: Meico]
484028
Tamaulipas [State: Meico]
484029
Tlaxcala [State: Meico]
484030
Veracruz [State: Meico]
484031
Yucatán [State: Meico]
484032
Zacatecas [State: Meico]
496001
Arkhangai [Province: Mongolia]
496002
Bayan-Ölgii [Province: Mongolia]
496003
Bayankhongor [Province: Mongolia]
496004
Bulgan [Province: Mongolia]
496005
Govi-Altai [Province: Mongolia]
496006
Dornogovi [Province: Mongolia]
496007
Dornod [Province: Mongolia]
496008
Dundgovi and Govisumber [Province: Mongolia]
496009
Zavkhan [Province: Mongolia]
496010
Övörkhangai [Province: Mongolia]
496011
Ömnögovi [Province: Mongolia]
496012
Sükhbaatar [Province: Mongolia]
496013
Selenge [Province: Mongolia]
496014
Töv [Province: Mongolia]
496015
Uvs [Province: Mongolia]
496016
Khovd [Province: Mongolia]
496017
Khövsgöl [Province: Mongolia]
496018
Khentii [Province: Mongolia]
496019
Darkhan-Uul [Province: Mongolia]
496020
Ulaanbaatar [Province: Mongolia]
496021
Orkhon [Province: Mongolia]
504001
Oued-Ed-Dahab-Lagouira [Region: Morocco]
504002
Laâyoune-Boujdour-Sakia El Hamra [Region: Morocco]
504003
Guelmin-Es-Samara [Region: Morocco]
504004
Souss-Massa-Draâ [Region: Morocco]
504005
Charb-Chrarda-Béni Hssen [Region: Morocco]
504006
Chaouia-Ouardigha [Region: Morocco]
504007
Marrakech-Tensift-Al Haouz [Region: Morocco]
504008
Oriental [Region: Morocco]
504009
Grand-Casablanca [Region: Morocco]
504010
Rabat-Salé-Zemmour-Zaer [Region: Morocco]
504011
Doukala Abda [Region: Morocco]
504012
Tadla Azilal [Region: Morocco]
504013
Meknès-Tafilalet [Region: Morocco]
504014
Fès-Boulemane [Region: Morocco]
504015
Taza-Al Heiceima-Taounate [Region: Morocco]
504016
Tanger-Tétouan [Region: Morocco]
508001
Niassa [Province: Mozambique]
508002
Cabo Delgado [Province: Mozambique]
508003
Nampula [Province: Mozambique]
508004
Zambézia [Province: Mozambique]
508005
Tete [Province: Mozambique]
508006
Manica [Province: Mozambique]
508007
Sofala [Province: Mozambique]
508008
Inhambane [Province: Mozambique]
508009
Gaza [Province: Mozambique]
508010
Maputo province [Province: Mozambique]
508011
Maputo city [Province: Mozambique]
524001
Mechi [Administrative zone: Nepal]
524002
Koshi [Administrative zone: Nepal]
524003
Sagarmatha [Administrative zone: Nepal]
524004
Janakpur [Administrative zone: Nepal]
524005
Bagmati [Administrative zone: Nepal]
524006
Narayani [Administrative zone: Nepal]
524007
Gandaki [Administrative zone: Nepal]
524008
Dhawalagiri [Administrative zone: Nepal]
524009
Lumbini [Administrative zone: Nepal]
524010
Rapti [Administrative zone: Nepal]
524011
Bheri [Administrative zone: Nepal]
524012
Karnali [Administrative zone: Nepal]
524013
Seti [Administrative zone: Nepal]
524014
Mahakali [Administrative zone: Nepal]
558005
Nueva Segovia [Department: Nicaragua]
558010
Jinotega [Department: Nicaragua]
558020
Madríz [Department: Nicaragua]
558030
Chinandega [Department: Nicaragua]
558035
Leon and Esteli [Department: Nicaragua]
558040
Matagalpa [Department: Nicaragua]
558050
Boaco [Department: Nicaragua]
558055
Managua [Department: Nicaragua]
558060
Masaya [Department: Nicaragua]
558065
Chontales [Department: Nicaragua]
558070
Granada [Department: Nicaragua]
558075
Carazo [Department: Nicaragua]
558080
Rivas [Department: Nicaragua]
558085
Río San Juan [Department: Nicaragua]
558093
Atlántico Norte and Atlántico Sur [Department: Nicaragua]
558099
Unknown [Department: Nicaragua]
566001
Abia [State: Nigeria]
566002
Adamawa [State: Nigeria]
566003
Akwa Ibom [State: Nigeria]
566004
Anambra [State: Nigeria]
566005
Bauchi [State: Nigeria]
566006
Bayelsa [State: Nigeria]
566007
Benue [State: Nigeria]
566008
Borno [State: Nigeria]
566009
Cross River [State: Nigeria]
566010
Delta [State: Nigeria]
566011
Ebonyi [State: Nigeria]
566012
Edo [State: Nigeria]
566013
Ekiti [State: Nigeria]
566014
Enugu [State: Nigeria]
566015
Gombe [State: Nigeria]
566016
Imo [State: Nigeria]
566017
Jigawa [State: Nigeria]
566018
Kaduna [State: Nigeria]
566019
Kano [State: Nigeria]
566020
Katsina [State: Nigeria]
566021
Kebbi [State: Nigeria]
566022
Kogi [State: Nigeria]
566023
Kwara [State: Nigeria]
566024
Lagos [State: Nigeria]
566025
Nasarawa [State: Nigeria]
566026
Niger [State: Nigeria]
566027
Ogun [State: Nigeria]
566028
Ondo [State: Nigeria]
566029
Osun [State: Nigeria]
566030
Oyo [State: Nigeria]
566031
Plateau [State: Nigeria]
566032
Rivers [State: Nigeria]
566033
Sokoto [State: Nigeria]
566034
Taraba [State: Nigeria]
566035
Yobe [State: Nigeria]
566036
Zamfara [State: Nigeria]
566037
Federal Capital Territory Abuja [State: Nigeria]
566099
Unknown [State: Nigeria]
586001
North-West Frontier Province [Province: Pakistan]
586002
Fata [Province: Pakistan]
586003
Punjab, Islamabad [Province: Pakistan]
586004
Sind [Province: Pakistan]
586005
Baluchistan [Province: Pakistan]
586007
Northern areas [Province: Pakistan]
586008
Kashmir [Province: Pakistan]
591002
Coclé [Province: Panama]
591003
Colón, Comarca Kuna Yala (San Blas) [Province: Panama]
591004
Bocas de Toro, Chiriquí, Comarca Ngäbe Buglé, Veraguas [Province: Panama]
591005
Comarca Emberá, Darién [Province: Panama]
591006
Herrera [Province: Panama]
591007
Los Santos [Province: Panama]
591008
Panamá [Province: Panama]
600000
Asunción [Department: Paraguay]
600001
Concepción [Department: Paraguay]
600002
San Pedro [Department: Paraguay]
600007
Itapúa [Department: Paraguay]
600008
Misiones and Ñeembucú [Department: Paraguay]
600009
Guairá, Caazapá, and Paraguarí [Department: Paraguay]
600010
Cordillera, Caaguazú, Alto Paraná, and Canindeyú [Department: Paraguay]
600011
Central [Department: Paraguay]
600013
Amambay [Department: Paraguay]
600015
Presidente Hayes, Boqueron, and Alto Paraguay [Department: Paraguay]
600099
Unknown [Department: Paraguay]
604001
Amazonas [Region: Peru]
604002
Ancash [Region: Peru]
604003
Apurímac [Region: Peru]
604004
Arequipa [Region: Peru]
604005
Ayacucho [Region: Peru]
604006
Cajamarca [Region: Peru]
604007
Callao [Region: Peru]
604008
Cusco [Region: Peru]
604009
Huancavelica [Region: Peru]
604010
Huánuco [Region: Peru]
604011
Ica [Region: Peru]
604012
Junín [Region: Peru]
604013
La Libertad [Region: Peru]
604014
Lambayeque [Region: Peru]
604015
Lima [Region: Peru]
604016
Loreto [Region: Peru]
604017
Madre de Dios [Region: Peru]
604018
Moquegua [Region: Peru]
604019
Pasco [Region: Peru]
604020
Piura [Region: Peru]
604021
Puno [Region: Peru]
604022
San Martín [Region: Peru]
604023
Tacna [Region: Peru]
604024
Tumbes [Region: Peru]
604025
Ucayali [Region: Peru]
608001
Ilocos [Region: Philippines]
608002
Cagayan Valley [Region: Philippines]
608003
Central Luzon [Region: Philippines]
608004
Southern Tagalog [Region: Philippines]
608005
Bicol [Region: Philippines]
608006
Western Visayas [Region: Philippines]
608007
Central Visayas [Region: Philippines]
608008
Eastern Visayas [Region: Philippines]
608009
Western Mindanao [Region: Philippines]
608011
Northern Mindanao, Southern Mindanao, and Caraga [Region: Philippines]
608012
Central Mindanao and Autonomous Region of Muslim Mindanao [Region: Philippines]
608013
National Capital Region [Region: Philippines]
608014
Cordillera Administrative Region [Region: Philippines]
620111
Minho-Lima [Subregion: Portugal]
620112
Cávado [Subregion: Portugal]
620113
Ave [Subregion: Portugal]
620114
Grande Porto [Subregion: Portugal]
620115
Tâmega [Subregion: Portugal]
620116
Entre Douro e Vouga [Subregion: Portugal]
620117
Douro [Subregion: Portugal]
620118
Alto Trás-os-Montes [Subregion: Portugal]
620150
Algarve [Subregion: Portugal]
620161
Baixo Vouga [Subregion: Portugal]
620162
Baixo Mondego [Subregion: Portugal]
620163
Pinhal Litoral [Subregion: Portugal]
620165
Dão-Lafões [Subregion: Portugal]
620166
Oeste [Subregion: Portugal]
620167
Médio Tejo [Subregion: Portugal]
620169
Other Center [Subregion: Portugal]
620171
Grande Lisboa [Subregion: Portugal]
620172
Península de Setúbal [Subregion: Portugal]
620185
Lezíria do Tejo [Subregion: Portugal]
620189
Other Alentejo [Subregion: Portugal]
620200
Região Autónoma dos Açores [Subregion: Portugal]
620300
Região Autónoma da Madeira [Subregion: Portugal]
630101
G7201001 [PUMA: Puerto Rico]
630104
G7201002, G7201003, G7201004 [PUMA: Puerto Rico]
630110
G7201100 [PUMA: Puerto Rico]
630180
G7201800 [PUMA: Puerto Rico]
630200
G7200100, G7200200, G7200300, G7200400, G7200500, G72000700, G7201200, G7201300, G7201400, G7201500, G7201600, G7201700, G7201900, G7202000, G7202100, G7202200, G7202300, G7202400, G7202600, G7200600, G7200801, G7200802, G7200900 [PUMA: Puerto Rico]
630250
G7202500 [PUMA: Puerto Rico]
642001
Alba [County: Romania]
642002
Arad [County: Romania]
642003
Arges [County: Romania]
642004
Bacau [County: Romania]
642005
Bihor [County: Romania]
642006
Bistrita Nasaud [County: Romania]
642007
Botosani [County: Romania]
642008
Brasov [County: Romania]
642009
Braila [County: Romania]
642010
Buzau [County: Romania]
642011
Caras Severin [County: Romania]
642012
Cluj [County: Romania]
642013
Constanta [County: Romania]
642014
Covasna [County: Romania]
642015
Dimbovita [County: Romania]
642016
Dolj [County: Romania]
642017
Galati [County: Romania]
642018
Gorj [County: Romania]
642019
Harghita [County: Romania]
642020
Hunedoara [County: Romania]
642022
Iasi [County: Romania]
642024
Maramures [County: Romania]
642025
Mehedinti [County: Romania]
642026
Mures [County: Romania]
642027
Neamt [County: Romania]
642028
Olt [County: Romania]
642029
Prahova [County: Romania]
642030
Satu Mare [County: Romania]
642031
Salaj [County: Romania]
642032
Sibiu [County: Romania]
642033
Suceava [County: Romania]
642034
Teleorman [County: Romania]
642035
Timis [County: Romania]
642036
Tulcea [County: Romania]
642037
Vaslui [County: Romania]
642038
Valcea [County: Romania]
642039
Vrancea [County: Romania]
642043
Bucharest Sector 1 to 6 [County: Romania]
642051
Calarasi, Giurgiu, Ialomita, Ilfov [County: Romania]
646001
Kigali City [Province: Rwanda]
646002
Kigali Ngali [Province: Rwanda]
646004
Gitarama [Province: Rwanda]
646005
Butare [Province: Rwanda]
646006
Gikongoro [Province: Rwanda]
646007
Cyangugu [Province: Rwanda]
646008
Kibuye [Province: Rwanda]
646009
Gisenyi [Province: Rwanda]
646010
Ruhengeri [Province: Rwanda]
646012
Byumba, Kibungo and Umutara [Province: Rwanda]
686001
Dakar [Region: Senegal]
686002
Diourbel [Region: Senegal]
686003
Fatick [Region: Senegal]
686004
Kaolack [Region: Senegal]
686005
Kolda [Region: Senegal]
686008
Louga, Saint Louis, Matam [Region: Senegal]
686009
Tambacounda [Region: Senegal]
686010
Thiès [Region: Senegal]
686011
Ziguinchor [Region: Senegal]
694011
Kailahun [District: Sierra Leone]
694012
Kenema [District: Sierra Leone]
694013
Kono [District: Sierra Leone]
694021
Bombali [District: Sierra Leone]
694022
Kambia [District: Sierra Leone]
694023
Koinadugu [District: Sierra Leone]
694024
Port Loko [District: Sierra Leone]
694025
Tonkolili [District: Sierra Leone]
694031
Bo [District: Sierra Leone]
694032
Bonthe [District: Sierra Leone]
694033
Moyamba [District: Sierra Leone]
694034
Pujehun [District: Sierra Leone]
694041
Western - rural [District: Sierra Leone]
694042
Western - urban [District: Sierra Leone]
704001
Ninh Binh, Hoa Binh, Ha Noi, Phu Tho, Vinh Phuc, Ha Nam, and Nam Dinh [Province: Vietnam]
704002
Ha Giang and Tuyen Quang [Province: Vietnam]
704004
Cao Bang [Province: Vietnam]
704014
Son La [Province: Vietnam]
704015
Lai Chau, Dien Bien, Lao Cai, and Yen Bai [Province: Vietnam]
704019
Bac Kan and Thai Nguyen [Province: Vietnam]
704020
Lang Son [Province: Vietnam]
704022
Quang Ninh [Province: Vietnam]
704024
Bac Giang, and Bac Ninh [Province: Vietnam]
704030
Hai Duong and Hung Yen [Province: Vietnam]
704031
Hai Phong [Province: Vietnam]
704034
Thai Binh [Province: Vietnam]
704038
Thanh Hoa [Province: Vietnam]
704040
Nghe An and Ha Tinh [Province: Vietnam]
704046
Quang Binh, Quang Tri, and Thua Thien - Hue [Province: Vietnam]
704049
Da Nang and Quang Nam [Province: Vietnam]
704051
Binh Dinh and Quang Ngai [Province: Vietnam]
704054
Phu Yen and Khanh Hoa [Province: Vietnam]
704060
Thuan Hai, Ninh Thuan, and Binh Thuan [Province: Vietnam]
704062
Gia Lai and Kon Tum [Province: Vietnam]
704066
Dak Lak and Dak Nong [Province: Vietnam]
704068
Lam Dong [Province: Vietnam]
704072
Tay Ninh [Province: Vietnam]
704074
Binh Duong and Binh Phuoc [Province: Vietnam]
704075
Dong Nai and Ba Ria - Vung Tau [Province: Vietnam]
704079
Ho Chi Minh City [Province: Vietnam]
704080
Long An [Province: Vietnam]
704082
Tien Giang [Province: Vietnam]
704083
Ben Tre [Province: Vietnam]
704086
Vinh Long and Tra Vinh [Province: Vietnam]
704087
Dong Thap [Province: Vietnam]
704089
An Giang [Province: Vietnam]
704091
Kien Giang [Province: Vietnam]
704094
Hau Giang, Can Tho City, and Soc Trang [Province: Vietnam]
704096
Bac Lieu and Ca Mau [Province: Vietnam]
705001
Pomurska [Region: Slovenia]
705002
Podravska [Region: Slovenia]
705003
Koroška [Region: Slovenia]
705004
Savinjska [Region: Slovenia]
705005
Zasavska [Region: Slovenia]
705006
Spodnjeposavska [Region: Slovenia]
705007
Jugovzhodna Slovenija [Region: Slovenia]
705008
Osrednjeslovenska [Region: Slovenia]
705009
Gorenjska [Region: Slovenia]
705010
Notranjsko-kraška [Region: Slovenia]
705011
Goriška [Region: Slovenia]
705012
Obalno-kraška [Region: Slovenia]
705099
Unknown [Region: Slovenia]
710001
Western Cape [Province: South Africa]
710004
Free State [Province: South Africa]
710005
Eastern Cape, KwaZulu-Natal [Province: South Africa]
710007
Gauteng, Limpopo, Mpumalanga, North West, Northern Cape [Province: South Africa]
710999
Unknown [Province: South Africa]
724011
Galicia [Communities and Autonomous Cities: Spain]
724012
Principado de Asturias [Communities and Autonomous Cities: Spain]
724013
Cantabria [Communities and Autonomous Cities: Spain]
724021
País Vasco [Communities and Autonomous Cities: Spain]
724022
Comunidad Foral de Navarra [Communities and Autonomous Cities: Spain]
724023
La Rioja [Communities and Autonomous Cities: Spain]
724024
Aragón [Communities and Autonomous Cities: Spain]
724030
Comunidad de Madrid [Communities and Autonomous Cities: Spain]
724041
Castilla y León [Communities and Autonomous Cities: Spain]
724042
Castilla-La Mancha [Communities and Autonomous Cities: Spain]
724043
Extremadura [Communities and Autonomous Cities: Spain]
724051
Cataluña [Communities and Autonomous Cities: Spain]
724052
Comunidad Valenciana [Communities and Autonomous Cities: Spain]
724053
Illes Balears [Communities and Autonomous Cities: Spain]
724061
Andalucía [Communities and Autonomous Cities: Spain]
724062
Región de Murcia [Communities and Autonomous Cities: Spain]
724063
Ciudad Autónoma de Ceuta [Communities and Autonomous Cities: Spain]
724064
Ciudad Autónoma de Melilla [Communities and Autonomous Cities: Spain]
724070
Canarias [Communities and Autonomous Cities: Spain]
724099
Unknown [Communities and Autonomous Cities: Spain]
728071
Upper Nile [State: South Sudan]
728072
Jonglei [State: South Sudan]
728073
Unity [State: South Sudan]
728081
Warrap [State: South Sudan]
728082
Northern Bahr El Ghazal [State: South Sudan]
728083
Western Bahr El Ghazal [State: South Sudan]
728084
Lakes [State: South Sudan]
728091
Western Equatoria [State: South Sudan]
728092
Central Equatoria [State: South Sudan]
728093
Eastern Equatoria [State: South Sudan]
729011
Northern [State: Sudan]
729012
Nahr El Nil [State: Sudan]
729021
Red Sea [State: Sudan]
729022
Kassala [State: Sudan]
729023
Al Gedarif [State: Sudan]
729031
Khartoum [State: Sudan]
729041
Al Gezira [State: Sudan]
729042
White Nile [State: Sudan]
729043
Sinnar [State: Sudan]
729044
Blue Nile [State: Sudan]
729051
North Kordofan [State: Sudan]
729052
South Kordofan [State: Sudan]
729061
North Darfur [State: Sudan]
729062
West Darfur [State: Sudan]
729063
South Darfur [State: Sudan]
756001
Zurich [Canton: Switzerland]
756002
Bern [Canton: Switzerland]
756003
Luzern (Lucerne) [Canton: Switzerland]
756004
Uri [Canton: Switzerland]
756005
Schwyz [Canton: Switzerland]
756006
Obwalden (Obwald) [Canton: Switzerland]
756007
Nidwalden (Nidwald) [Canton: Switzerland]
756008
Glarus [Canton: Switzerland]
756009
Zug [Canton: Switzerland]
756010
Fribourg [Canton: Switzerland]
756011
Solothurn [Canton: Switzerland]
756012
Basel-Stadt (Basel-City) [Canton: Switzerland]
756013
Basel-Landschaft (Basel-Country) [Canton: Switzerland]
756014
Schaffhausen [Canton: Switzerland]
756015
Outer and Inner Rhodes [Canton: Switzerland]
756017
St. Gallen (St. Gall) [Canton: Switzerland]
756018
Graubundun (Grisons) [Canton: Switzerland]
756019
Aargau (Argovia) [Canton: Switzerland]
756020
Thurgau (Thurgovia) [Canton: Switzerland]
756021
Ticino [Canton: Switzerland]
756022
Vaud [Canton: Switzerland]
756023
Valais [Canton: Switzerland]
756024
Neuchatel [Canton: Switzerland]
756025
Geneva [Canton: Switzerland]
756026
Jura [Canton: Switzerland]
764010
Bangkok [Province: Thailand]
764011
Samut Prakan [Province: Thailand]
764012
Nonthaburi [Province: Thailand]
764013
Pathum Thani [Province: Thailand]
764014
Phra Nakhon si Ayutthaya [Province: Thailand]
764015
Ang Thong [Province: Thailand]
764016
Lop Buri [Province: Thailand]
764017
Sing Buri [Province: Thailand]
764018
Chai Nat [Province: Thailand]
764019
Prachin Buri and Sa Kaeo [Province: Thailand]
764020
Chon Buri [Province: Thailand]
764021
Rayong [Province: Thailand]
764022
Chanthaburi [Province: Thailand]
764023
Trat [Province: Thailand]
764024
Chachoengsao [Province: Thailand]
764026
Nakhon Nayok [Province: Thailand]
764027
Saraburi [Province: Thailand]
764030
Nakhon Ratchasima [Province: Thailand]
764031
Buri Ram [Province: Thailand]
764032
Surin [Province: Thailand]
764033
Si Sa Ket [Province: Thailand]
764034
Ubon Ratchathani, Yasothon and Amnat Charoen [Province: Thailand]
764036
Chaiyaphum [Province: Thailand]
764040
Khon Kaen [Province: Thailand]
764041
Udon Thani and Nong Bua Lam Phu [Province: Thailand]
764042
Loei [Province: Thailand]
764043
Nong Khai [Province: Thailand]
764044
Maha Sarakham [Province: Thailand]
764045
Roi Et [Province: Thailand]
764046
Kalasin [Province: Thailand]
764047
Sakon Nakhon [Province: Thailand]
764048
Nakhon Phanom and Mukdahan [Province: Thailand]
764050
Chiang Mai [Province: Thailand]
764051
Lamphun [Province: Thailand]
764052
Lampang [Province: Thailand]
764053
Uttaradit [Province: Thailand]
764054
Phrae [Province: Thailand]
764055
Nan [Province: Thailand]
764057
Chiang Rai and Phayao [Province: Thailand]
764058
Mae Hong Son [Province: Thailand]
764060
Nakhon Sawan [Province: Thailand]
764061
Uthai Thani [Province: Thailand]
764062
Kamphaeng Phet [Province: Thailand]
764063
Tak [Province: Thailand]
764064
Sukhothai [Province: Thailand]
764065
Phitsanulok [Province: Thailand]
764066
Phichit [Province: Thailand]
764067
Phetchabun [Province: Thailand]
764070
Ratchaburi [Province: Thailand]
764071
Kanchanaburi [Province: Thailand]
764072
Suphanburi [Province: Thailand]
764073
Nakhon Pathom [Province: Thailand]
764074
Samut Sakhon [Province: Thailand]
764075
Samut Songkhram [Province: Thailand]
764076
Phetchaburi [Province: Thailand]
764077
Prachuap Khiri Khan [Province: Thailand]
764080
Nakhon Si Thammarat [Province: Thailand]
764081
Krabi [Province: Thailand]
764082
Phangnga [Province: Thailand]
764083
Phuket [Province: Thailand]
764084
Surat Thani [Province: Thailand]
764085
Ranong [Province: Thailand]
764086
Chumphon [Province: Thailand]
764090
Songkhla [Province: Thailand]
764091
Satun [Province: Thailand]
764092
Trang [Province: Thailand]
764093
Phatthalung [Province: Thailand]
764094
Pattani [Province: Thailand]
764095
Yala [Province: Thailand]
764096
Narathiwat [Province: Thailand]
792001
Adana, Gaziantep, Osmaniye and Kilis [Province: Turkey]
792002
Adiyaman [Province: Turkey]
792003
Afyon [Province: Turkey]
792004
Agri [Province: Turkey]
792005
Amasya [Province: Turkey]
792006
Ankara and Kirikkale [Province: Turkey]
792007
Antalya [Province: Turkey]
792008
Artvin [Province: Turkey]
792009
Aydin [Province: Turkey]
792010
Balikesir [Province: Turkey]
792011
Bilecik [Province: Turkey]
792012
Bingöl [Province: Turkey]
792013
Bitlis [Province: Turkey]
792014
Bolu and Düzce [Province: Turkey]
792015
Burdur [Province: Turkey]
792017
Çanakkale [Province: Turkey]
792019
Çorum [Province: Turkey]
792020
Denizli [Province: Turkey]
792021
Diyarbakir [Province: Turkey]
792022
Edirne [Province: Turkey]
792023
Elazig [Province: Turkey]
792024
Erzincan [Province: Turkey]
792025
Erzurum [Province: Turkey]
792026
Eskisehir [Province: Turkey]
792028
Giresun [Province: Turkey]
792029
Gümüshane and Bayburt [Province: Turkey]
792031
Hatay [Province: Turkey]
792032
Isparta [Province: Turkey]
792033
Mersin (içel) [Province: Turkey]
792034
Istanbul, Bursa, Kocaeli and Yalova [Province: Turkey]
792035
Izmir [Province: Turkey]
792036
Kars, Ardahan and Igdir [Province: Turkey]
792037
Kastamonu [Province: Turkey]
792038
Kayseri [Province: Turkey]
792039
Kirklareli [Province: Turkey]
792040
Kirsehir [Province: Turkey]
792042
Konya and Karaman [Province: Turkey]
792043
Kütahya [Province: Turkey]
792044
Malatya [Province: Turkey]
792045
Manisa [Province: Turkey]
792046
Kahramanmaras [Province: Turkey]
792047
Mardin, Hakkari, Siirt, Batman and Sirnak [Province: Turkey]
792048
Mugla [Province: Turkey]
792049
Mus [Province: Turkey]
792050
Nevsehir [Province: Turkey]
792051
Nigde and Aksaray [Province: Turkey]
792052
Ordu [Province: Turkey]
792053
Rize [Province: Turkey]
792054
Sakarya [Province: Turkey]
792055
Samsun [Province: Turkey]
792057
Sinop [Province: Turkey]
792058
Sivas [Province: Turkey]
792059
Tekirdag [Province: Turkey]
792060
Tokat [Province: Turkey]
792061
Trabzon [Province: Turkey]
792062
Tunceli [Province: Turkey]
792063
Sanliurfa [Province: Turkey]
792064
Usak [Province: Turkey]
792065
Van [Province: Turkey]
792066
Yozgat [Province: Turkey]
792067
Zonguldak, Çankiri, Karabuk and Bartin [Province: Turkey]
800101
Kalangala [District: Uganda]
800102
Kampala [District: Uganda]
800103
Kiboga [District: Uganda]
800104
Luwero and Nakasongola [District: Uganda]
800105
Masaka and Sembabule [District: Uganda]
800107
Mubende [District: Uganda]
800108
Mukono and Kayunga [District: Uganda]
800110
Rakai [District: Uganda]
800113
Mpigi and Wakiso [District: Uganda]
800203
Iganga, Buguri, and Mayuge [District: Uganda]
800204
Jinja [District: Uganda]
800205
Kamuli [District: Uganda]
800206
Kapchorwa [District: Uganda]
800208
Kumi [District: Uganda]
800209
Mbale and Sironko [District: Uganda]
800210
Pallisa [District: Uganda]
800211
Soroti, Katakwi, and Kaberamaido [District: Uganda]
800212
Busia and Tororo [District: Uganda]
800301
Moyo and Adjumani [District: Uganda]
800302
Apac [District: Uganda]
800303
Arua and Yumbe [District: Uganda]
800304
Gulu [District: Uganda]
800306
Kotido [District: Uganda]
800307
Lira [District: Uganda]
800308
Moroto and Nakapiripirit [District: Uganda]
800310
Nebbi [District: Uganda]
800312
Kitgum and Pader [District: Uganda]
800401
Bundibugyo [District: Uganda]
800403
Hoima [District: Uganda]
800404
Kabale [District: Uganda]
800405
Kabarole, Kamwenge, and Kyenjojo [District: Uganda]
800406
Kasese [District: Uganda]
800407
Kibaale [District: Uganda]
800408
Kisoro [District: Uganda]
800409
Masindi [District: Uganda]
800410
Bushenyi, Mbarara, and Ntungamo [District: Uganda]
800412
Rukungiri and Kanungu [District: Uganda]
800999
Unknown [District: Uganda]
804001
The Autonomous Republic of Crimea [Region: Ukraine]
804005
Vinnytska oblast [Region: Ukraine]
804007
Volynska oblast [Region: Ukraine]
804012
Dnipropetrovska oblast [Region: Ukraine]
804014
Donetska oblast [Region: Ukraine]
804018
Zhytomyrska oblast [Region: Ukraine]
804021
Zakarpatska oblast [Region: Ukraine]
804023
Zaporizka oblast [Region: Ukraine]
804026
Ivano-Frankivska oblast [Region: Ukraine]
804032
Kyivska oblast [Region: Ukraine]
804035
Kirovohradska oblast [Region: Ukraine]
804044
Luhanska oblast [Region: Ukraine]
804046
Lvivska oblast [Region: Ukraine]
804048
Mykolaivska oblast [Region: Ukraine]
804051
Odeska oblast [Region: Ukraine]
804053
Poltavska oblast [Region: Ukraine]
804056
Rivnenska oblast [Region: Ukraine]
804059
Sumska oblast [Region: Ukraine]
804061
Ternopilska oblast [Region: Ukraine]
804063
Kharkivska oblast [Region: Ukraine]
804065
Khersonska oblast [Region: Ukraine]
804068
Khmelnytska oblast [Region: Ukraine]
804071
Cherkaska oblast [Region: Ukraine]
804073
Chernivetska oblast [Region: Ukraine]
804074
Chernihivska oblast [Region: Ukraine]
804080
Kyiv [Region: Ukraine]
804085
Sevastopol [Region: Ukraine]
818001
Cairo [Governorate: Egypt]
818002
Alexandria [Governorate: Egypt]
818003
Port Said [Governorate: Egypt]
818004
Suez [Governorate: Egypt]
818011
Damietta [Governorate: Egypt]
818012
Dakahlia [Governorate: Egypt]
818013
Sharkia [Governorate: Egypt]
818014
Kaliobia [Governorate: Egypt]
818015
Kafr Sheikh [Governorate: Egypt]
818016
Gharbia [Governorate: Egypt]
818017
Menoufia [Governorate: Egypt]
818018
Behera [Governorate: Egypt]
818019
Ismailia [Governorate: Egypt]
818021
Giza [Governorate: Egypt]
818022
Bani Swif [Governorate: Egypt]
818023
Fayoum [Governorate: Egypt]
818024
Menia [Governorate: Egypt]
818025
Asiut [Governorate: Egypt]
818026
Sohag [Governorate: Egypt]
818027
Qena [Governorate: Egypt]
818028
Aswan [Governorate: Egypt]
818029
Luxor [Governorate: Egypt]
818031
Red Sea [Governorate: Egypt]
818032
New Valley [Governorate: Egypt]
818033
Marsa Matroh [Governorate: Egypt]
818034
North Sinai [Governorate: Egypt]
818035
South Sinai [Governorate: Egypt]
826011
North East [Region: United Kingdom]
826013
North West [Region: United Kingdom]
826014
Yorkshire and the Humber [Region: United Kingdom]
826021
East Midlands [Region: United Kingdom]
826022
West Midlands [Region: United Kingdom]
826031
East of England [Region: United Kingdom]
826032
South East and London [Region: United Kingdom]
826040
South West [Region: United Kingdom]
826060
Scotland [Region: United Kingdom]
826070
Wales [Region: United Kingdom]
826080
Northern Ireland [Region: United Kingdom]
834001
Dodoma [Region: Tanzania]
834003
Kilimanjaro [Region: Tanzania]
834004
Tanga [Region: Tanzania]
834005
Morogoro [Region: Tanzania]
834006
Pwani [Region: Tanzania]
834007
Dar es Salaam [Region: Tanzania]
834008
Lindi [Region: Tanzania]
834009
Mtwara [Region: Tanzania]
834010
Ruvumba [Region: Tanzania]
834011
Iringa [Region: Tanzania]
834012
Mbeya [Region: Tanzania]
834013
Singida [Region: Tanzania]
834014
Tabora [Region: Tanzania]
834015
Rukwa [Region: Tanzania]
834016
Kigoma [Region: Tanzania]
834017
Shinyanga [Region: Tanzania]
834018
Kagera [Region: Tanzania]
834019
Mwanza [Region: Tanzania]
834020
Mara [Region: Tanzania]
834021
Arusha and Manyara [Region: Tanzania]
834051
Zanzibar North [Region: Tanzania]
834052
Zanzibar South [Region: Tanzania]
834053
Zanzibar Town/West [Region: Tanzania]
834054
Pemba North [Region: Tanzania]
834055
Pemba South [Region: Tanzania]
840001
Alabama [State: U.S.]
840002
Alaska [State: U.S.]
840004
Arizona [State: U.S.]
840005
Arkansas [State: U.S.]
840006
California [State: U.S.]
840008
Colorado [State: U.S.]
840009
Connecticut [State: U.S.]
840010
Delaware [State: U.S.]
840011
District of Columbia [State: U.S.]
840012
Florida [State: U.S.]
840013
Georgia [State: U.S.]
840015
Hawaii [State: U.S.]
840016
Idaho [State: U.S.]
840017
Illinois [State: U.S.]
840018
Indiana [State: U.S.]
840019
Iowa [State: U.S.]
840020
Kansas [State: U.S.]
840021
Kentucky [State: U.S.]
840022
Louisiana [State: U.S.]
840023
Maine [State: U.S.]
840024
Maryland [State: U.S.]
840025
Massachusetts [State: U.S.]
840026
Michigan [State: U.S.]
840027
Minnesota [State: U.S.]
840028
Mississippi [State: U.S.]
840029
Missouri [State: U.S.]
840030
Montana [State: U.S.]
840031
Nebraska [State: U.S.]
840032
Nevada [State: U.S.]
840033
New Hampshire [State: U.S.]
840034
New Jersey [State: U.S.]
840035
New Mexico [State: U.S.]
840036
New York [State: U.S.]
840037
North Carolina [State: U.S.]
840038
North Dakota [State: U.S.]
840039
Ohio [State: U.S.]
840040
Oklahoma [State: U.S.]
840041
Oregon [State: U.S.]
840042
Pennsylvania [State: U.S.]
840044
Rhode Island [State: U.S.]
840045
South Carolina [State: U.S.]
840046
South Dakota [State: U.S.]
840047
Tennessee [State: U.S.]
840048
Texas [State: U.S.]
840049
Utah [State: U.S.]
840050
Vermont [State: U.S.]
840051
Virginia [State: U.S.]
840053
Washington [State: U.S.]
840054
West Virginia [State: U.S.]
840055
Wisconsin [State: U.S.]
840056
Wyoming [State: U.S.]
840099
State not identified [State: U.S.]
854001
Boucle du Mouhoun [Region: Burkina Faso]
854002
Cascades [Region: Burkina Faso]
854003
Centre [Region: Burkina Faso]
854004
Centre-Est [Region: Burkina Faso]
854005
Centre-Nord [Region: Burkina Faso]
854006
Centre-Ouest [Region: Burkina Faso]
854007
Centre-Sud [Region: Burkina Faso]
854008
Est [Region: Burkina Faso]
854009
Hauts-Bassins [Region: Burkina Faso]
854010
Nord [Region: Burkina Faso]
854011
Plateau Central [Region: Burkina Faso]
854012
Sahel [Region: Burkina Faso]
854013
Sud-Ouest [Region: Burkina Faso]
858001
Montevideo [Department: Uruguay]
858002
Artigas [Department: Uruguay]
858003
Canelones [Department: Uruguay]
858004
Cerro Largo [Department: Uruguay]
858005
Colonia [Department: Uruguay]
858006
Durazno [Department: Uruguay]
858007
Flores [Department: Uruguay]
858008
Florida [Department: Uruguay]
858009
Lavalleja [Department: Uruguay]
858010
Maldonado [Department: Uruguay]
858011
Paysandú [Department: Uruguay]
858012
Río Negro [Department: Uruguay]
858013
Rivera [Department: Uruguay]
858014
Rocha [Department: Uruguay]
858015
Salto [Department: Uruguay]
858016
San Jose [Department: Uruguay]
858017
Soriano [Department: Uruguay]
858018
Tacuarembó [Department: Uruguay]
858019
Treinta Y Tres [Department: Uruguay]
862001
Federal District, Vargas [State: Venezuela]
862002
Amazonas Federal Territory [State: Venezuela]
862003
Anzoátegui [State: Venezuela]
862004
Apure [State: Venezuela]
862005
Aragua [State: Venezuela]
862007
Bolívar [State: Venezuela]
862008
Carabobo [State: Venezuela]
862009
Cojedes [State: Venezuela]
862010
Amacuros Delta Federal Territory [State: Venezuela]
862011
Falcón [State: Venezuela]
862012
Guárico [State: Venezuela]
862013
Lara [State: Venezuela]
862014
Barinas, Mérida [State: Venezuela]
862015
Miranda [State: Venezuela]
862016
Monagas [State: Venezuela]
862017
Nueva Esparta, Federal Dependencies [State: Venezuela]
862018
Portuguesa [State: Venezuela]
862019
Sucre [State: Venezuela]
862020
Táchira [State: Venezuela]
862021
Trujillo [State: Venezuela]
862022
Yaracuy [State: Venezuela]
862023
Zulia [State: Venezuela]
894001
Central [Province: Zambia]
894002
Copperbelt [Province: Zambia]
894003
Eastern, Muchinga, Northern [Province: Zambia]
894004
Luapula [Province: Zambia]
894005
Lusaka [Province: Zambia]
894008
North Western [Province: Zambia]
894009
Southern [Province: Zambia]
894010
Western [Province: Zambia]
Geography: Global Variables -- HOUSEHOLD
State
All records
0
0
This variable indicates the geographic location of state.
11
Rondônia
12
Acre
13
Amazonas
14
Roraima
15
Pará
16
Amapá
17
Tocantins
21
Maranhão
22
Piauí
23
Ceará
24
Rio Grande do Norte
25
Paraíba
26
Pernambuco
27
Alagoas
28
Sergipe
29
Bahia
31
Minas Gerais
32
Espírito Santo
33
Rio de Janeiro
35
São Paulo
41
Paraná
42
Santa Catarina
43
Rio Grande do Sul
50
Mato Grosso do Sul
51
Mato Grosso
52
Goiás
53
Federal District
Geography: A-L Variables -- HOUSEHOLD
Geographic region
All households
0
0
This variable indicates the geographic region.
1
North region
2
Northeast region
3
Southeast region
4
South region
5
Central-West region
Geography: A-L Variables -- HOUSEHOLD
Metropolitan region
Metropolitan region
All households
0
0
This variable indicates the metropolitan region.
1
Belém
2
Grande São Luís
3
Fortaleza
4
Natal
5
Recife
6
Maceió
7
Salvador
8
Belo Horizonte
9
Belt around the Belo Horizonte MR (Metropolitan Region)
10
Vale do Aço
11
Belt around Vale do Aço MR
12
Grande Vitória
13
Rio de Janeiro
14
São Paulo
15
Santos Coastal Region
16
Campinas
17
Curitiba
18
Londrina
19
Maringá
20
Florianópolis
21
Metropolitan Expansion Area - Florianópolis MR
22
Metropolitan Nucleus - Vale do Itajaí MR
23
Metropolitan Expansion Area - Vale do Itajaí MR
24
North/NE Santa Catarina
25
Metropolitan Expansion Area - North/NE Santa Catarina
26
Porto Alegre
27
Goiânia
28
Undocumented
99
Not in metropolitan region
Geography: A-L Variables -- HOUSEHOLD
Urban-rural status, detailed
Urban-rural status, detailed
All housholds
0
0
This variable indicates whether the household is in an urban or rural area.
1
Urbanized area of village or city
2
Non-urbanized area of village or city
3
Isolated urbanized area
4
Rural - urban extension
5
Rural - Settlement
6
Rural - nucleus
7
Rural - other agglomerates
8
Rural - except for rural agglomerates
Geography: A-L Variables -- HOUSEHOLD
Urban-rural status
Urban-rural status
All households
0
0
This variable indicates whether the household is in urban or rural area.
1
Urban
2
Rural
Geography: A-L Variables -- HOUSEHOLD
Sector type
Sector type
All households
0
0
This variable indicates the sector type.
0
Common or non-special sector
1
Special sector - subnormal agglomerate
2
Special sector - military installations, bases, etc.
3
Special sector - lodgings, camps, etc.
4
Special sector - boats, ships, etc.
5
Special sector - indigenous villages
6
Special sector - prisons, penal colonies, jails, etc.
7
Special sector - asylums, orphanages, convents, hospitals, etc.
Group Quarters Variables -- HOUSEHOLD
Number of males
All households
0
0
This variable indicates the total number of males in the household.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
20
20
21
21
30
30
Constructed Household Variables -- HOUSEHOLD
Number of females
All households
0
0
This variable indicates the total number of females in the household.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
21
21
22
22
Constructed Household Variables -- HOUSEHOLD
Dwelling type 1
All households
0
0
This variable indicates whether the dwelling is permanent, improvised or collective.
1
Permanent
2
Improvised
3
Collective
Group Quarters Variables -- HOUSEHOLD
Flag for dwelling type
Flag for dwelling type
All households
0
0
This variable indicates a data quality edit for dwelling type 1.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Dwelling type 2
Households in permanent dwellings
0
0
This variable indicates whether the dwelling is a house, apartment or room.
0
NIU (not in universe)
1
House
2
Apartment
3
Room
Dwelling Characteristics Variables -- HOUSEHOLD
Flag for dwelling type 2
Flag for dwelling type 2
All households
0
0
This variable indicates data quality edit flag for dwelling type 2.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Number of rooms
Households in permanent dwellings
0
0
This variable indicates the total number of rooms in the dwelling.
0
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
Dwelling Characteristics Variables -- HOUSEHOLD
Flag for number of rooms
Flag for number of rooms
All households
0
0
This variable indicates data quality edit flag for number of rooms.
1
Undocumented
2
Undocumented
Household Imputation Flags Variables -- HOUSEHOLD
Number of rooms serving as bedrooms
Households in permanent dwellings
0
0
This variable indicates the number of bedrooms.
0
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
Dwelling Characteristics Variables -- HOUSEHOLD
Flag for number of rooms serving as bedrooms
Flag for number of rooms serving as bedrooms
All households
0
0
This variable indicates data quality edit flag for number of bedrooms.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Ownership of dwelling
Households in permanent dwellings
0
0
This variable indicates the condition of dwelling; owned, rented, ceded or other.
0
NIU (not in universe)
1
Owned outright
2
Owned still paying
3
Rented
4
Ceded by employer
5
Ceded otherwise
6
Other condition
Household Economic Variables -- HOUSEHOLD
Flag for ownership of dwelling
Flag for ownership of dwelling
All households
0
0
This variable indicates data quality edit flag for the condition of the dwelling.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Ownership of land
Households that own the dwelling and in permanent dwellings
0
0
This variable indicates the condition of the land where the dwelling is located: whether it is owned, ceded or other.
0
NIU (not in universe)
1
Owned
2
Ceded
3
Other
Household Economic Variables -- HOUSEHOLD
Flag for ownership of land
Flag for ownership of land
All households
0
0
This variable indicates data quality edit flag for condition of land.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Water source
Households in permanent dwellings
0
0
This variable indicates the type of water supply.
0
NIU (not in universe)
1
General system
2
Well or spring (on the premises)
3
Other
Utilities Variables -- HOUSEHOLD
Flag for water supply
Flag for water supply
All households
0
0
This variable indicates data quality flag for type of water supply.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Piped water
Households in permanent dwellings
0
0
This variable indicates how water arrives to the dwelling: piped to at least one room, piped to the lot or premise only, or not piped.
0
NIU (not in universe)
1
Piped water to at least one room
2
Piped only to the lot or premises
3
Not piped
Utilities Variables -- HOUSEHOLD
Flag for piped water
Flag for piped water
All households
0
0
This variable indicates data quality flag for piped water.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Number of bathrooms
Households in permanent dwellings
0
0
This variable indicates the number of bathrooms in the dwelling.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
99
NIU (not in universe)
Dwelling Characteristics Variables -- HOUSEHOLD
Flag for number of bathrooms
Flag for number of bathrooms
All households
0
0
This variable indicates data quality flag for number of bathrooms.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Toilet
Households with no bathrooms
0
0
This variable indicates whether the dwelling has a toilet for those households that do not have a bathroom.
0
NIU (not in universe)
1
Yes
2
No
Dwelling Characteristics Variables -- HOUSEHOLD
Flag for toilet
Flag for toilet
All households
0
0
This variable indicates data quality flag for the existence of a bathroom.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Waste water
Households in permanent dwellings with bathroom or toilet
0
0
This variable indicates the type of drainage/sewage system.
0
NIU (not in universe)
1
General sewage or rain system
2
Septic tank
3
Rudimentary cesspool
4
Ditch
5
River, lake or ocean
6
Other drainage
Utilities Variables -- HOUSEHOLD
Flag for waste water
Flag for waste water
All households
0
0
This variable indicates data quality flag for type of drainage/sewage system.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Destination of trash
Households in permanent dwellings
0
0
This variable indicates the destination of trash.
0
NIU (not in universe)
1
Collected by cleaning service
2
Placed in cleaning service bin
3
Burned (on the premises)
4
Buried (on the premises)
5
Thrown into empty lot or thoroughfare
6
Thrown into the river, lake or ocean
7
Some other destination
Utilities Variables -- HOUSEHOLD
Flag for destination of trash
Flag for destination of trash
All households
0
0
This variable indicates data quality flag for the destination of trash.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Electricity
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has electricity.
0
NIU (not in universe)
1
Yes
2
No
Utilities Variables -- HOUSEHOLD
Flag for electricity
Flag for electricity
All households
0
0
This variable indicates data quality flag for electricity.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Radio
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a radio.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for radio
Flag for radio
All households
0
0
This variable indicates data quality flag for radio.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Refrigerator or freezer
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a refrigerator or freezer.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for refrigerator or freezer
Flag for refrigerator or freezer
All households
0
0
This variable indicates data quality flag for refrigerator or freezer.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
VCR (videocassette recorder)
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has VCR.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for VCR
Flag for VCR
All households
0
0
This variable indicates data quality flag for VCR.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Clothes washing machine
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a washing machine.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for clothes washing machine
Flag for clothes washing machine
All households
0
0
This variable indicates data quality flag for washing machine.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Microwave oven
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a microwave.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for microwave oven
Flag for microwave oven
All households
0
0
This variable indicates data quality flag for microwave oven.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Telephone line installed
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a ground telephone line installed.
0
NIU (not in universe)
1
Yes
2
No
Utilities Variables -- HOUSEHOLD
Flag for telephone line installed
Flag for telephone line installed
All households
0
0
This variable indicates data quality flag for if a telephone line is installed.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Computer
Households in permanent dwellings
0
0
This variable indicates whether the dwelling has a computer.
0
NIU (not in universe)
1
Yes
2
No
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for computer
Flag for computer
All households
0
0
This variable indicates data quality flag for computer.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Number of televisions
Households in permanent dwellings
0
0
This variable indicates the number of televisions in the dwelling.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
99
NIU (not in universe)
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for number of televisions
Flag for number of televisions
All households
0
0
This variable indicates data quality flag for the number of televisions.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Number of automobiles for private use
Households in permanent dwellings
0
0
This variable indicates the number of automobiles for private use.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
99
NIU (not in universe)
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for number of automobiles for private use
Flag for number of automobiles for private use
All households
0
0
This variable indicates data quality flag for the number of automobiles for private use.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Number of air conditioning units
Households in permanent dwellings
0
0
This variable indicates the number of air conditioners in the dwelling.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
99
NIU (not in universe)
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Flag for number of air conditioning units
Flag for number of air conditioning units
All households
0
0
This variable indicates data quality flag for the number of air conditioners.
1
Yes
2
No
Household Imputation Flags Variables -- HOUSEHOLD
Total number of people in the dwelling
All households
0
0
This variable indicates the total number of people in the dwelling.
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
34
34
36
36
42
42
43
43
Constructed Household Variables -- HOUSEHOLD
Density of residents per room
Density of residents per room
Households in permanent dwellings
0
0
This variable indicates the density of residents per room.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
40
40
42
42
43
43
44
44
45
45
46
46
47
47
48
48
50
50
52
52
53
53
54
54
55
55
57
57
58
58
60
60
63
63
65
65
67
67
68
68
70
70
73
73
75
75
77
77
80
80
85
85
90
90
95
95
100
100
110
110
115
115
120
120
125
125
130
130
140
140
150
150
160
160
170
170
180
180
190
190
210
210
220
220
999
NIU (not in universe)
Constructed Household Variables -- HOUSEHOLD
Density of residents per bedroom
Density of residents per bedroom
Households in permanent dwellings
0
0
This variable indicates the density of residents per bedroom.
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
40
40
42
42
43
43
44
44
45
45
46
46
47
47
48
48
50
50
53
53
55
55
57
57
58
58
60
60
63
63
65
65
67
67
70
70
73
73
75
75
77
77
80
80
85
85
87
87
90
90
95
95
97
97
100
100
105
105
108
108
110
110
115
115
120
120
125
125
130
130
140
140
150
150
160
160
170
170
180
180
190
190
200
200
210
210
220
220
230
230
250
250
999
NIU (not in universe)
Constructed Household Variables -- HOUSEHOLD
Number of people in family 1
Number of people in family 1
Households not living in collective dwellings
0
0
This variable indicates the number of people in family number one.
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
27
27
43
43
99
NIU (not in universe)
Constructed Household Variables -- HOUSEHOLD
Number of people in family 2
Number of people in family 2
Households with at least two families, not living in collective dwellings
0
0
This variable indicates the number of people in family number two.
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
99
NIU (not in universe)
Constructed Household Variables -- HOUSEHOLD
Number of people in family 3
Number of people in family 3
Households with at least three families, not living in collective dwellings
0
0
This variable indicates the number of people in family number three.
0
NIU (not in universe)
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
Constructed Household Variables -- HOUSEHOLD
Number of people in family 4
Number of people in family 4
Households with at least four families, not living in collective dwellings
0
0
This variable indicates the number of people in family number four.
0
NIU (not in universe)
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
Constructed Household Variables -- HOUSEHOLD
Number of people in family 5
Number of people in family 5
Households with at least five families, not living in collective dwellings
0
0
This variable indicates the number of people in family number five.
0
NIU (not in universe)
2
2
3
3
4
4
5
5
6
6
7
7
9
9
Constructed Household Variables -- HOUSEHOLD
Number of people in family 6
Number of people in family 6
Households with at least six families, not living in collective dwellings
0
0
This variable indicates the number of people in family number six.
0
NIU (not in universe)
2
2
3
3
4
4
5
5
6
6
Constructed Household Variables -- HOUSEHOLD
Number of people in family 7
Number of people in family 7
Households with at least seven families, not living in collective dwellings
0
0
This variable indicates the number of people in family number seven.
0
NIU (not in universe)
2
2
3
3
5
5
6
6
7
7
Constructed Household Variables -- HOUSEHOLD
Number of people in family 8
Number of people in family 8
Households with at least eight families, not living in collective dwellings
0
0
This variable indicates the number of people in family number eight.
0
NIU (not in universe)
2
2
Constructed Household Variables -- HOUSEHOLD
Number of people in family 9
Number of people in family 9
Households with at least nine families, not living in collective dwellings
0
0
This variable indicates the number of people in family number nine.
0
NIU (not in universe)
2
2
Constructed Household Variables -- HOUSEHOLD
Total income in the private dwelling
Total income in the private dwelling
All private households
0
0
This variable indicates the total income in the private dwelling.
Household Economic Variables -- HOUSEHOLD
Total income in the private dwelling, in minimum salaries
Total income in the private dwelling, in minimum salaries
All private households
0
0
This variable indicates the total income in the private dwelling, expressed in terms of minimum salaries.
Household Economic Variables -- HOUSEHOLD
Household weight
Household weight
All households
0
0
This variable indicates household weight.
This is a 11-digit numeric variable with 8 implied decimal places
Technical Household Variables -- HOUSEHOLD
Strata
Strata
All households
0
0
This is a 6-digit numeric variable with 0 implied decimal places
Geography: A-L Variables -- HOUSEHOLD
Household weight
0
0
HHWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Household Variables -- HOUSEHOLD
Brazil, State 1960 - 2010 [Level 1; consistent boundaries, GIS]
0
0
76011
Rondonia
76012
Acre
76013
Amazonas
76014
Roraima
76015
Pará
76016
Amapa
76021
Maranhao
76022
Piauí
76023
Ceará
76024
Rio Grande do Norte
76025
Paraiba
76026
Pernambuco
76027
Alagoas
76028
Sergipe
76029
Bahia
76031
Minas Gerais
76032
Espírito Santo
76033
Rio de Janeiro
76035
São Paulo
76041
Parana
76042
Santa Catarina
76043
Rio Grande do Sul
76051
Mato Grosso, Mato Grosso do Sul
76052
Goiás and Tocantins
76053
Distrito Federal
Geography: A-L Variables -- HOUSEHOLD
Brazil, State 1960 - 2010 [Level 1; inconsistent boundaries, harmonized by name]
0
0
11
Rondônia
12
Acre
13
Amazonas
14
Roraima
15
Pará
16
Amapá
17
Tocantins
21
Maranhão
22
Piauí
23
Ceará
24
Rio Grande do Norte
25
Paraíba
26
Pernambuco
27
Alagoas
28
Sergipe
29
Bahia
31
Minas Gerais
32
Espírito Santo
33
Rio de Janeiro
34
Guanabara
35
São Paulo
36
Serra dos Aimorés
41
Paraná
42
Santa Catarina
43
Rio Grande do Sul
50
Mato Grosso do Sul
51
Mato Grosso
52
Goiás
53
Distrito Federal
Geography: A-L Variables -- HOUSEHOLD
Brazil, Municipality 1960 - 2010 [Level 2; inconsistent boundaries, harmonized by name]
0
0
1100015
Alta Floresta D'Oeste
1100023
Ariquemes
1100049
Cacoal
1100064
Colorado do Oeste
1100098
Espigão D'Oeste
1100106
Guajará-Mirim
1100114
Jaru
1100122
Ji-Paraná
1100130
Machadinho D'Oeste
1100155
Ouro Preto do Oeste
1100189
Pimenta Bueno
1100205
Porto Velho
1100254
Presidente Médici
1100288
Rolim de Moura
1100304
Vilhena
1100320
São Miguel do Guaporé
1100452
Buritis
1199999
Rest of Rondônia
1200203
Cruzeiro do Sul
1200302
Feijó
1200401
Rio Branco
1200450
Senador Guiomard
1200500
Sena Madureira
1200609
Tarauacá
1299999
Rest of Acre
1300300
Autazes
1300409
Barcelos
1300508
Barreirinha
1300607
Benjamin Constant
1300706
Boca do Acre
1300805
Borba
1301001
Carauari
1301100
Careiro
1301209
Coari
1301407
Eirunepé
1301605
Fonte Boa
1301704
Humaitá
1301852
Iranduba
1301902
Itacoatiara
1302306
Jutaí
1302405
Lábrea
1302504
Manacapuru
1302603
Manaus
1302702
Manicoré
1302900
Maués
1303106
Nova Olinda do Norte
1303403
Parintins
1303700
Santo Antônio do Içá
1303809
São Gabriel da Cachoeira
1303908
São Paulo de Olivença
1304062
Tabatinga
1304104
Tapauá
1304203
Tefé
1399999
Rest of Amazonas
1400100
Boa Vista
1499999
Rest of Roraima
1500107
Abaetetuba
1500206
Acará
1500305
Afuá
1500347
Água Azul do Norte
1500404
Alenquer
1500503
Almeirim
1500602
Altamira
1500800
Ananindeua
1500909
Augusto Corrêa
1500958
Aurora do Pará
1501204
Baião
1501303
Barcarena
1501402
Belém
1501501
Benevides
1501709
Bragança
1501782
Breu Branco
1501808
Breves
1501907
Bujaru
1502103
Cametá
1502202
Capanema
1502301
Capitão Poço
1502400
Castanhal
1502707
Conceição do Araguaia
1502756
Concórdia do Pará
1502806
Curralinho
1502905
Curuçá
1502939
Dom Eliseu
1502954
Eldorado dos Carajás
1503077
Garrafão do Norte
1503093
Goianésia do Pará
1503101
Gurupá
1503200
Igarapé-Açu
1503309
Igarapé-Miri
1503457
Ipixuna do Pará
1503507
Irituia
1503606
Itaituba
1503705
Itupiranga
1503754
Jacareacanga
1503804
Jacundá
1503903
Juruti
1504059
Mãe do Rio
1504208
Marabá
1504307
Maracanã
1504406
Marapanim
1504422
Marituba
1504455
Medicilândia
1504505
Melgaço
1504604
Mocajuba
1504703
Moju
1504802
Monte Alegre
1504901
Muaná
1505031
Novo Progresso
1505064
Novo Repartimento
1505106
Óbidos
1505205
Oeiras do Pará
1505304
Oriximiná
1505486
Pacajá
1505502
Paragominas
1505536
Parauapebas
1505809
Portel
1505908
Porto de Moz
1506005
Prainha
1506138
Redenção
1506187
Rondon do Pará
1506195
Rurópolis
1506203
Salinópolis
1506500
Santa Isabel do Pará
1506609
Santa Maria do Pará
1506708
Santana do Araguaia
1506807
Santarém
1507151
São Domingos do Araguaia
1507201
São Domingos do Capim
1507300
São Félix do Xingu
1507458
São Geraldo do Araguaia
1507607
São Miguel do Guamá
1507953
Tailândia
1508001
Tomé-Açu
1508035
Tracuateua
1508084
Tucumã
1508100
Tucuruí
1508159
Uruará
1508209
Vigia
1508308
Viseu
1508407
Xinguara
1599999
Rest of Pará
1600279
Laranjal do Jari
1600303
Macapá
1600600
Santana
1699999
Rest of Amapá
1702109
Araguaína
1702208
Araguatins
1705508
Colinas do Tocantins
1709500
Gurupi
1713205
Miracema do Tocantins
1716109
Paraíso do Tocantins
1718204
Porto Nacional
1721000
Palmas
1721208
Tocantinópolis
1799999
Rest of Tocantins
2100055
Açailândia
2100204
Alcântara
2100436
Alto Alegre do Maranhão
2100477
Alto Alegre do Pindaré
2100600
Amarante do Maranhão
2100709
Anajatuba
2100907
Araioses
2100956
Arame
2101004
Arari
2101202
Bacabal
2101400
Balsas
2101608
Barra do Corda
2101707
Barreirinhas
2102002
Bom Jardim
2102101
Brejo
2102200
Buriti
2102309
Buriti Bravo
2102325
Buriticupu
2102804
Carolina
2103000
Caxias
2103208
Chapadinha
2103307
Codó
2103406
Coelho Neto
2103505
Colinas
2103604
Coroatá
2103703
Cururupu
2103802
Dom Pedro
2104008
Esperantinópolis
2104057
Estreito
2104677
Governador Nunes Freire
2104800
Grajaú
2105005
Humberto de Campos
2105104
Icatu
2105302
Imperatriz
2105401
Itapecuru Mirim
2105427
Itinga do Maranhão
2105500
João Lisboa
2105708
Lago da Pedra
2106508
Matinha
2106607
Matões
2106706
Mirador
2106904
Monção
2107506
Paço do Lumiar
2107803
Parnarama
2108207
Pedreiras
2108306
Penalva
2108504
Pindaré-Mirim
2108603
Pinheiro
2108702
Pio XII
2108900
Poção de Pedras
2109106
Presidente Dutra
2109502
Riachão
2109601
Rosário
2109809
Santa Helena
2109908
Santa Inês
2110005
Santa Luzia
2110039
Santa Luzia do Paruá
2110104
Santa Quitéria do Maranhão
2110203
Santa Rita
2110500
São Bento
2110609
São Bernardo
2110708
São Domingos do Maranhão
2111102
São João dos Patos
2111201
São José de Ribamar
2111300
São Luís
2111409
São Luís Gonzaga do Maranhão
2111508
São Mateus do Maranhão
2112100
Timbiras
2112209
Timon
2112308
Tuntum
2112407
Turiaçu
2112506
Tutóia
2112704
Vargem Grande
2112803
Viana
2112902
Vitória do Mearim
2113009
Vitorino Freire
2114007
Zé Doca
2199999
Rest of Maranhão
2200400
Altos
2201200
Barras
2201507
Batalha
2202208
Campo Maior
2202703
Cocal
2202901
Corrente
2203701
Esperantina
2203909
Floriano
2205508
José de Freitas
2205706
Luís Correia
2205805
Luzilândia
2206209
Miguel Alves
2207009
Oeiras
2207702
Parnaíba
2207900
Pedro II
2208007
Picos
2208304
Piracuruca
2208403
Piripiri
2210607
São Raimundo Nonato
2211001
Teresina
2211100
União
2211308
Valença do Piauí
2299999
Rest of Piauí
2300200
Acaraú
2300309
Acopiara
2300754
Amontada
2301000
Aquiraz
2301109
Aracati
2301208
Aracoiaba
2301604
Assaré
2301703
Aurora
2301901
Barbalha
2302107
Baturité
2302206
Beberibe
2302305
Bela Cruz
2302404
Boa Viagem
2302503
Brejo Santo
2302602
Camocim
2302701
Campos Sales
2302800
Canindé
2303204
Caririaçu
2303501
Cascavel
2303709
Caucaia
2303808
Cedro
2304004
Coreaú
2304103
Crateús
2304202
Crato
2304285
Eusébio
2304301
Farias Brito
2304400
Fortaleza
2304707
Granja
2305001
Guaraciaba do Norte
2305233
Horizonte
2305308
Ibiapina
2305407
Icó
2305506
Iguatu
2305605
Independência
2305803
Ipu
2305902
Ipueiras
2306256
Itaitinga
2306306
Itapagé
2306405
Itapipoca
2306553
Itarema
2306900
Jaguaribe
2307007
Jaguaruana
2307106
Jardim
2307304
Juazeiro do Norte
2307403
Jucás
2307502
Lavras da Mangabeira
2307601
Limoeiro do Norte
2307650
Maracanaú
2307700
Maranguape
2308005
Massapê
2308104
Mauriti
2308302
Milagres
2308401
Missão Velha
2308500
Mombaça
2308708
Morada Nova
2309300
Nova Russas
2309409
Novo Oriente
2309458
Ocara
2309508
Orós
2309607
Pacajus
2309706
Pacatuba
2310209
Paracuru
2310258
Paraipaba
2310308
Parambu
2310506
Pedra Branca
2310704
Pentecoste
2311306
Quixadá
2311405
Quixeramobim
2311603
Redenção
2311702
Reriutaba
2311801
Russas
2312007
Santana do Acaraú
2312205
Santa Quitéria
2312304
São Benedito
2312403
São Gonçalo do Amarante
2312700
Senador Pompeu
2312908
Sobral
2313104
Tabuleiro do Norte
2313203
Tamboril
2313302
Tauá
2313401
Tianguá
2313500
Trairi
2313609
Ubajara
2314003
Várzea Alegre
2314102
Viçosa do Ceará
2399999
Rest of Ceará
2400208
Açu
2401008
Apodi
2401107
Areia Branca
2402006
Caicó
2402204
Canguaretama
2402600
Ceará-Mirim
2403103
Currais Novos
2403251
Parnamirim
2405801
João Câmara
2407104
Macaíba
2407203
Macau
2408003
Mossoró
2408102
Natal
2408300
Nova Cruz
2409407
Pau dos Ferros
2411205
Santa Cruz
2411502
Santo Antônio
2412005
São Gonçalo do Amarante
2412203
São José de Mipibu
2412500
São Miguel
2414407
Touros
2499999
Rest of Rio Grande do Norte
2500304
Alagoa Grande
2501104
Areia
2501500
Bananeiras
2501807
Bayeux
2503209
Cabedelo
2503704
Cajazeiras
2504009
Campina Grande
2504306
Catolé do Rocha
2505105
Cuité
2506004
Esperança
2506301
Guarabira
2506905
Itabaiana
2507002
Itaporanga
2507507
João Pessoa
2508307
Lagoa Seca
2508901
Mamanguape
2509107
Mari
2509701
Monteiro
2510808
Patos
2511202
Pedras de Fogo
2512101
Pombal
2512507
Queimadas
2512903
Rio Tinto
2513703
Santa Rita
2513901
São Bento
2515302
Sapé
2516003
Solânea
2516201
Sousa
2599999
Rest of Paraíba
2600054
Abreu e Lima
2600104
Afogados da Ingazeira
2600302
Agrestina
2600401
Água Preta
2600500
Águas Belas
2600708
Aliança
2600807
Altinho
2600906
Amaraji
2601102
Araripina
2601201
Arcoverde
2601409
Barreiros
2601607
Belém de São Francisco
2601706
Belo Jardim
2601904
Bezerros
2602001
Bodocó
2602100
Bom Conselho
2602209
Bom Jardim
2602308
Bonito
2602605
Brejo da Madre de Deus
2602803
Buíque
2602902
Cabo de Santo Agostinho
2603009
Cabrobó
2603207
Caetés
2603454
Camaragibe
2603702
Canhotinho
2603801
Capoeiras
2604007
Carpina
2604106
Caruaru
2604205
Catende
2604601
Condado
2604908
Cumaru
2605004
Cupira
2605103
Custódia
2605202
Escada
2605301
Exu
2605608
Flores
2605707
Floresta
2605905
Gameleira
2606002
Garanhuns
2606101
Glória do Goitá
2606200
Goiana
2606408
Gravatá
2606606
Ibimirim
2606804
Igarassu
2607208
Ipojuca
2607307
Ipubi
2607505
Itaíba
2607653
Itambé
2607752
Itapissuma
2607901
Jaboatão dos Guararapes
2608107
João Alfredo
2608800
Lajedo
2608909
Limoeiro
2609006
Macaparana
2609402
Moreno
2609501
Nazaré da Mata
2609600
Olinda
2609709
Orobó
2609907
Ouricuri
2610004
Palmares
2610202
Panelas
2610400
Parnamirim
2610509
Passira
2610608
Paudalho
2610707
Paulista
2610905
Pesqueira
2611002
Petrolândia
2611101
Petrolina
2611309
Pombos
2611507
Quipapá
2611606
Recife
2611804
Ribeirão
2611903
Rio Formoso
2612208
Salgueiro
2612505
Santa Cruz do Capibaribe
2612604
Santa Maria da Boa Vista
2613008
São Bento do Una
2613107
São Caitano
2613305
São Joaquim do Monte
2613503
São José do Belmonte
2613602
São José do Egito
2613701
São Lourenço da Mata
2613909
Serra Talhada
2614105
Sertânia
2614204
Sirinhaém
2614501
Surubim
2614600
Tabira
2615003
Taquaritinga do Norte
2615300
Timbaúba
2615409
Toritama
2615607
Trindade
2615805
Tupanatinga
2616308
Vicência
2616407
Vitória de Santo Antão
2699999
Rest of Pernambuco
2700300
Arapiraca
2700409
Atalaia
2701001
Boca da Mata
2701407
Campo Alegre
2702306
Coruripe
2702355
Craíbas
2702405
Delmiro Gouveia
2702603
Feira Grande
2702900
Girau do Ponciano
2703106
Igaci
2703205
Igreja Nova
2703809
Joaquim Gomes
2704005
Junqueiro
2704104
Lagoa da Canoa
2704203
Limoeiro de Anadia
2704302
Maceió
2704500
Maragogi
2704708
Marechal Deodoro
2705002
Mata Grande
2705101
Matriz de Camaragibe
2705507
Murici
2706307
Palmeira dos Índios
2706406
Pão de Açúcar
2706703
Penedo
2706901
Pilar
2707305
Porto Calvo
2707701
Rio Largo
2708006
Santana do Ipanema
2708303
São José da Laje
2708402
São José da Tapera
2708501
São Luís do Quitunde
2708600
São Miguel dos Campos
2708808
São Sebastião
2709152
Teotônio Vilela
2709202
Traipu
2709301
União dos Palmares
2709400
Viçosa
2799999
Rest of Alagoas
2800308
Aracaju
2800670
Boquim
2801306
Capela
2802106
Estância
2802908
Itabaiana
2803005
Itabaianinha
2803203
Itaporanga d'Ajuda
2803500
Lagarto
2803609
Laranjeiras
2804508
Nossa Senhora da Glória
2804607
Nossa Senhora das Dores
2804805
Nossa Senhora do Socorro
2805406
Poço Redondo
2805604
Porto da Folha
2805703
Propriá
2806701
São Cristóvão
2807105
Simão Dias
2807402
Tobias Barreto
2899999
Rest of Sergipe
2900702
Alagoinhas
2900801
Alcobaça
2901007
Amargosa
2901106
Amélia Rodrigues
2901205
Anagé
2902104
Araci
2902609
Baixa Grande
2902708
Barra
2902807
Barra da Estiva
2902906
Barra do Choça
2903201
Barreiras
2903409
Belmonte
2903706
Boa Nova
2903904
Bom Jesus da Lapa
2904100
Boquira
2904605
Brumado
2904902
Cachoeira
2905008
Caculé
2905206
Caetité
2905602
Camacan
2905701
Camaçari
2905800
Camamu
2905909
Campo Alegre de Lourdes
2906006
Campo Formoso
2906204
Canarana
2906303
Canavieiras
2906501
Candeias
2906709
Cândido Sales
2906808
Cansanção
2906873
Capim Grosso
2906907
Caravelas
2907103
Carinhanha
2907202
Casa Nova
2907301
Castro Alves
2907509
Catu
2907806
Cícero Dantas
2908002
Coaraci
2908408
Conceição do Coité
2908507
Conceição do Jacuípe
2908606
Conde
2908903
Coração de Maria
2909208
Coronel João Sá
2909307
Correntina
2909802
Cruz das Almas
2909901
Curaçá
2910057
Dias d'Ávila
2910404
Encruzilhada
2910503
Entre Rios
2910602
Esplanada
2910701
Euclides da Cunha
2910727
Eunápolis
2910800
Feira de Santana
2911204
Gandu
2911709
Guanambi
2911808
Guaratinga
2911907
Iaçu
2912103
Ibicaraí
2912707
Ibirapitanga
2912905
Ibirataia
2913200
Ibotirama
2913507
Iguaí
2913606
Ilhéus
2913705
Inhambupe
2913903
Ipiaú
2914000
Ipirá
2914505
Irará
2914604
Irecê
2914653
Itabela
2914703
Itaberaba
2914802
Itabuna
2915502
Itajuípe
2915601
Itamaraju
2915809
Itambé
2916005
Itanhém
2916401
Itapetinga
2916500
Itapicuru
2917003
Itiúba
2917102
Itororó
2917300
Ituberá
2917508
Jacobina
2917607
Jaguaquara
2917706
Jaguarari
2918001
Jequié
2918100
Jeremoabo
2918308
Jitaúna
2918407
Juazeiro
2919157
Lapão
2919207
Lauro de Freitas
2919504
Livramento de Nossa Senhora
2919553
Luís Eduardo Magalhães
2919801
Macaúbas
2920106
Mairi
2920502
Maracás
2920601
Maragogipe
2921005
Mata de São João
2921104
Medeiros Neto
2921203
Miguel Calmon
2921500
Monte Santo
2921708
Morro do Chapéu
2922003
Mucuri
2922102
Mundo Novo
2922300
Muritiba
2922409
Mutuípe
2922508
Nazaré
2922904
Nova Soure
2923001
Nova Viçosa
2923100
Olindina
2923209
Oliveira dos Brejinhos
2923704
Paratinga
2923803
Paripiranga
2924009
Paulo Afonso
2924405
Pilão Arcado
2924603
Pindobaçu
2925006
Planalto
2925105
Poções
2925204
Pojuca
2925303
Porto Seguro
2925501
Prado
2925808
Queimadas
2925907
Quijingue
2925956
Rafael Jambeiro
2926004
Remanso
2926202
Riachão das Neves
2926301
Riachão do Jacuípe
2926400
Riacho de Santana
2926608
Ribeira do Pombal
2927002
Rio Real
2927200
Ruy Barbosa
2927408
Salvador
2927705
Santa Cruz Cabrália
2928000
Santaluz
2928109
Santa Maria da Vitória
2928208
Santana
2928406
Santa Rita de Cássia
2928604
Santo Amaro
2928703
Santo Antônio de Jesus
2928802
Santo Estêvão
2929107
São Felipe
2929206
São Francisco do Conde
2929305
São Gonçalo dos Campos
2929503
São Sebastião do Passé
2929909
Seabra
2930105
Senhor do Bonfim
2930154
Serra do Ramalho
2930204
Sento Sé
2930501
Serrinha
2930709
Simões Filho
2930774
Sobradinho
2931004
Tanhaçu
2931350
Teixeira de Freitas
2931509
Teofilândia
2931806
Tremedal
2931905
Tucano
2932002
Uauá
2932101
Ubaíra
2932200
Ubaitaba
2932309
Ubatã
2932507
Una
2932705
Uruçuca
2932903
Valença
2933208
Vera Cruz
2933307
Vitória da Conquista
2933505
Wenceslau Guimarães
2933604
Xique-Xique
2999999
Rest of Bahia
3100203
Abaeté
3101102
Aimorés
3101508
Além Paraíba
3101607
Alfenas
3101706
Almenara
3102605
Andradas
3103405
Araçuaí
3103504
Araguari
3104007
Araxá
3104205
Arcos
3105103
Bambuí
3105400
Barão de Cocais
3105608
Barbacena
3106200
Belo Horizonte
3106705
Betim
3107109
Boa Esperança
3107307
Bocaiúva
3107406
Bom Despacho
3108602
Brasília de Minas
3109006
Brumadinho
3109402
Buritizeiro
3110004
Caeté
3110509
Camanducaia
3110608
Cambuí
3111002
Campestre
3111200
Campo Belo
3111606
Campos Gerais
3112307
Capelinha
3113008
Caraí
3113206
Carandaí
3113305
Carangola
3113404
Caratinga
3113701
Carlos Chagas
3114303
Carmo do Paranaíba
3114402
Carmo do Rio Claro
3115300
Cataguases
3115508
Caxambu
3116605
Cláudio
3118007
Congonhas
3118304
Conselheiro Lafaiete
3118403
Conselheiro Pena
3118601
Contagem
3118809
Coração de Jesus
3119104
Corinto
3119302
Coromandel
3119401
Coronel Fabriciano
3120904
Curvelo
3121605
Diamantina
3122306
Divinópolis
3123601
Elói Mendes
3124104
Esmeraldas
3124203
Espera Feliz
3124302
Espinosa
3126109
Formiga
3126703
Francisco Sá
3127107
Frutal
3127701
Governador Valadares
3128006
Guanhães
3128709
Guaxupé
3129509
Ibiá
3129806
Ibirité
3130101
Igarapé
3130903
Inhapim
3131307
Ipatinga
3131703
Itabira
3131901
Itabirito
3132404
Itajubá
3132503
Itamarandiba
3132701
Itambacuri
3133303
Itaobim
3133501
Itapecerica
3133808
Itaúna
3134202
Ituiutaba
3134400
Iturama
3135050
Jaíba
3135100
Janaúba
3135209
Januária
3135803
Jequitinhonha
3136207
João Monlevade
3136306
João Pinheiro
3136702
Juiz de Fora
3137205
Lagoa da Prata
3137601
Lagoa Santa
3138203
Lavras
3138401
Leopoldina
3139003
Machado
3139300
Manga
3139409
Manhuaçu
3139607
Mantena
3140001
Mariana
3140704
Mateus Leme
3141108
Matozinhos
3141405
Medina
3141801
Minas Novas
3142908
Monte Azul
3143104
Monte Carmelo
3143203
Monte Santo de Minas
3143302
Montes Claros
3143906
Muriaé
3144003
Mutum
3144102
Muzambinho
3144300
Nanuque
3144607
Nepomuceno
3144805
Nova Lima
3145208
Nova Serrana
3145307
Novo Cruzeiro
3145604
Oliveira
3145901
Ouro Branco
3146008
Ouro Fino
3146107
Ouro Preto
3147006
Paracatu
3147105
Pará de Minas
3147402
Paraopeba
3147907
Passos
3148004
Patos de Minas
3148103
Patrocínio
3148707
Pedra Azul
3149309
Pedro Leopoldo
3151206
Pirapora
3151404
Pitangui
3151503
Piumhi
3151800
Poços de Caldas
3152006
Pompéu
3152105
Ponte Nova
3152204
Porteirinha
3152501
Pouso Alegre
3152808
Prata
3154002
Raul Soares
3154606
Ribeirão das Neves
3155603
Rio Pardo de Minas
3156700
Sabará
3156908
Sacramento
3157005
Salinas
3157203
Santa Bárbara
3157807
Santa Luzia
3159605
Santa Rita do Sapucaí
3160405
Santo Antônio do Monte
3160702
Santos Dumont
3161106
São Francisco
3162005
São Gonçalo do Sapucaí
3162104
São Gotardo
3162401
São João da Ponte
3162500
São João del Rei
3162708
São João do Paraíso
3162906
São João Nepomuceno
3163706
São Lourenço
3164704
São Sebastião do Paraíso
3167103
Serro
3167202
Sete Lagoas
3168002
Taiobeiras
3168606
Teófilo Otoni
3168705
Timóteo
3169307
Três Corações
3169356
Três Marias
3169406
Três Pontas
3169604
Tupaciguara
3169901
Ubá
3170107
Uberaba
3170206
Uberlândia
3170404
Unaí
3170701
Varginha
3170800
Várzea da Palma
3171204
Vespasiano
3171303
Viçosa
3172004
Visconde do Rio Branco
3199999
Rest of Minas Gerais
3200102
Afonso Cláudio
3200201
Alegre
3200607
Aracruz
3200805
Baixo Guandu
3200904
Barra de São Francisco
3201209
Cachoeiro de Itapemirim
3201308
Cariacica
3201407
Castelo
3201506
Colatina
3201605
Conceição da Barra
3201902
Domingos Martins
3202108
Ecoporanga
3202306
Guaçuí
3202405
Guarapari
3202801
Itapemirim
3203007
Iúna
3203205
Linhares
3203320
Marataízes
3203403
Mimoso do Sul
3203700
Muniz Freire
3203908
Nova Venécia
3204005
Pancas
3204054
Pedro Canário
3204104
Pinheiros
3204559
Santa Maria de Jetibá
3204609
Santa Teresa
3204708
São Gabriel da Palha
3204906
São Mateus
3205002
Serra
3205101
Viana
3205200
Vila Velha
3205309
Vitória
3299999
Rest of Espírito Santo
3300100
Angra dos Reis
3300209
Araruama
3300258
Arraial do Cabo
3300308
Barra do Piraí
3300407
Barra Mansa
3300456
Belford Roxo
3300506
Bom Jardim
3300605
Bom Jesus do Itabapoana
3300704
Cabo Frio
3300803
Cachoeiras de Macacu
3301009
Campos dos Goytacazes
3301306
Casimiro de Abreu
3301702
Duque de Caxias
3301850
Guapimirim
3301900
Itaboraí
3302007
Itaguaí
3302106
Itaocara
3302205
Itaperuna
3302254
Itatiaia
3302270
Japeri
3302403
Macaé
3302502
Magé
3302601
Mangaratiba
3302700
Maricá
3302858
Mesquita
3302908
Miguel Pereira
3303005
Miracema
3303203
Nilópolis
3303302
Niterói
3303401
Nova Friburgo
3303500
Nova Iguaçu
3303609
Paracambi
3303708
Paraíba do Sul
3303807
Parati
3303856
Paty do Alferes
3303906
Petrópolis
3304003
Piraí
3304144
Queimados
3304201
Resende
3304300
Rio Bonito
3304524
Rio das Ostras
3304557
Rio de Janeiro
3304706
Santo Antônio de Pádua
3304755
São Francisco de Itabapoana
3304805
São Fidélis
3304904
São Gonçalo
3305000
São João da Barra
3305109
São João de Meriti
3305208
São Pedro da Aldeia
3305505
Saquarema
3305554
Seropédica
3305604
Silva Jardim
3305752
Tanguá
3305802
Teresópolis
3306008
Três Rios
3306107
Valença
3306206
Vassouras
3306305
Volta Redonda
3399999
Rest of Rio de Janeiro
3500105
Adamantina
3500303
Aguaí
3500709
Agudos
3501301
Álvares Machado
3501608
Americana
3501707
Américo Brasiliense
3501905
Amparo
3502101
Andradina
3502507
Aparecida
3502705
Apiaí
3502804
Araçatuba
3502903
Araçoiaba da Serra
3503208
Araraquara
3503307
Araras
3503802
Artur Nogueira
3503901
Arujá
3504008
Assis
3504107
Atibaia
3504503
Avaré
3505203
Bariri
3505302
Barra Bonita
3505500
Barretos
3505609
Barrinha
3505708
Barueri
3505807
Bastos
3505906
Batatais
3506003
Bauru
3506102
Bebedouro
3506359
Bertioga
3506508
Birigui
3506607
Biritiba-Mirim
3507001
Boituva
3507506
Botucatu
3507605
Bragança Paulista
3508405
Cabreúva
3508504
Caçapava
3508603
Cachoeira Paulista
3509007
Caieiras
3509205
Cajamar
3509254
Cajati
3509403
Cajuru
3509502
Campinas
3509601
Campo Limpo Paulista
3509700
Campos do Jordão
3510005
Cândido Mota
3510203
Capão Bonito
3510401
Capivari
3510500
Caraguatatuba
3510609
Carapicuíba
3510807
Casa Branca
3511102
Catanduva
3511508
Cerquilho
3512209
Conchal
3512803
Cosmópolis
3513009
Cotia
3513108
Cravinhos
3513405
Cruzeiro
3513504
Cubatão
3513603
Cunha
3513702
Descalvado
3513801
Diadema
3514106
Dois Córregos
3514403
Dracena
3515004
Embu
3515103
Embu-Guaçu
3515186
Espírito Santo do Pinhal
3515509
Fernandópolis
3515707
Ferraz de Vasconcelos
3516200
Franca
3516309
Francisco Morato
3516408
Franco da Rocha
3516705
Garça
3517406
Guaíra
3518206
Guararapes
3518305
Guararema
3518404
Guaratinguetá
3518602
Guariba
3518701
Guarujá
3518800
Guarulhos
3519071
Hortolândia
3519303
Ibaté
3519600
Ibitinga
3519709
Ibiúna
3520004
Igaraçu do Tietê
3520103
Igarapava
3520301
Iguape
3520400
Ilhabela
3520442
Ilha Solteira
3520509
Indaiatuba
3521804
Itaí
3522109
Itanhaém
3522208
Itapecerica da Serra
3522307
Itapetininga
3522406
Itapeva
3522505
Itapevi
3522604
Itapira
3522703
Itápolis
3523107
Itaquaquecetuba
3523206
Itararé
3523404
Itatiba
3523909
Itu
3524006
Itupeva
3524105
Ituverava
3524303
Jaboticabal
3524402
Jacareí
3524709
Jaguariúna
3524808
Jales
3525003
Jandira
3525102
Jardinópolis
3525300
Jaú
3525706
José Bonifácio
3525904
Jundiaí
3526100
Juquiá
3526209
Juquitiba
3526407
Laranjal Paulista
3526704
Leme
3526803
Lençóis Paulista
3526902
Limeira
3527108
Lins
3527207
Lorena
3527306
Louveira
3528403
Mairinque
3528502
Mairiporã
3529005
Marília
3529203
Martinópolis
3529302
Matão
3529401
Mauá
3529906
Miracatu
3530102
Mirandópolis
3530300
Mirassol
3530508
Mococa
3530607
Mogi das Cruzes
3530706
Mogi Guaçu
3530805
Moji Mirim
3531100
Mongaguá
3531308
Monte Alto
3531803
Monte Mor
3531902
Morro Agudo
3533403
Nova Odessa
3533502
Novo Horizonte
3533908
Olímpia
3534302
Orlândia
3534401
Osasco
3534609
Osvaldo Cruz
3534708
Ourinhos
3535309
Palmital
3535507
Paraguaçu Paulista
3536505
Paulínia
3536703
Pederneiras
3537107
Pedreira
3537305
Penápolis
3537404
Pereira Barreto
3537602
Peruíbe
3537800
Piedade
3537909
Pilar do Sul
3538006
Pindamonhangaba
3538600
Piracaia
3538709
Piracicaba
3538808
Piraju
3538907
Pirajuí
3539202
Pirapozinho
3539301
Pirassununga
3539509
Pitangueiras
3539806
Poá
3540200
Pontal
3540606
Porto Feliz
3540705
Porto Ferreira
3541000
Praia Grande
3541307
Presidente Epitácio
3541406
Presidente Prudente
3541505
Presidente Venceslau
3541604
Promissão
3542206
Rancharia
3542602
Registro
3543006
Ribeirão Branco
3543303
Ribeirão Pires
3543402
Ribeirão Preto
3543907
Rio Claro
3544004
Rio das Pedras
3544103
Rio Grande da Serra
3544251
Rosana
3545209
Salto
3545308
Salto de Pirapora
3545803
Santa Bárbara d'Oeste
3546306
Santa Cruz das Palmeiras
3546405
Santa Cruz do Rio Pardo
3546603
Santa Fé do Sul
3546801
Santa Isabel
3547304
Santana de Parnaíba
3547502
Santa Rita do Passa Quatro
3547601
Santa Rosa de Viterbo
3547700
Santo Anastácio
3547809
Santo André
3548500
Santos
3548708
São Bernardo do Campo
3548807
São Caetano do Sul
3548906
São Carlos
3549102
São João da Boa Vista
3549409
São Joaquim da Barra
3549706
São José do Rio Pardo
3549805
São José do Rio Preto
3549904
São José dos Campos
3550100
São Manuel
3550209
São Miguel Arcanjo
3550308
São Paulo
3550407
São Pedro
3550605
São Roque
3550704
São Sebastião
3551009
São Vicente
3551504
Serrana
3551603
Serra Negra
3551702
Sertãozinho
3552106
Socorro
3552205
Sorocaba
3552403
Sumaré
3552502
Suzano
3552809
Taboão da Serra
3553302
Tambaú
3553401
Tanabi
3553708
Taquaritinga
3553807
Taquarituba
3554003
Tatuí
3554102
Taubaté
3554300
Teodoro Sampaio
3554508
Tietê
3554805
Tremembé
3555000
Tupã
3555406
Ubatuba
3556206
Valinhos
3556404
Vargem Grande do Sul
3556453
Vargem Grande Paulista
3556503
Várzea Paulista
3556701
Vinhedo
3557006
Votorantim
3557105
Votuporanga
3599999
Rest of São Paulo
4100400
Almirante Tamandaré
4101101
Andirá
4101408
Apucarana
4101507
Arapongas
4101606
Arapoti
4101804
Araucária
4102000
Assis Chateaubriand
4102109
Astorga
4102406
Bandeirantes
4103602
Cambará
4103701
Cambé
4104006
Campina Grande do Sul
4104204
Campo Largo
4104253
Campo Magro
4104303
Campo Mourão
4104808
Cascavel
4104907
Castro
4105409
Chopinzinho
4105508
Cianorte
4105805
Colombo
4105904
Colorado
4106407
Cornélio Procópio
4106506
Coronel Vivida
4106605
Cruzeiro do Oeste
4106902
Curitiba
4107207
Dois Vizinhos
4107652
Fazenda Rio Grande
4108304
Foz do Iguaçu
4108403
Francisco Beltrão
4108601
Goioerê
4108809
Guaíra
4109401
Guarapuava
4109609
Guaratuba
4109708
Ibaiti
4109807
Ibiporã
4110102
Imbituva
4110706
Irati
4111506
Ivaiporã
4111803
Jacarezinho
4112009
Jaguariaíva
4112108
Jandaia do Sul
4113205
Lapa
4113304
Laranjeiras do Sul
4113700
Londrina
4114203
Mandaguari
4114609
Marechal Cândido Rondon
4114807
Marialva
4115200
Maringá
4115705
Matinhos
4115804
Medianeira
4116901
Nova Esperança
4117305
Ortigueira
4117503
Paiçandu
4117602
Palmas
4117701
Palmeira
4117909
Palotina
4118204
Paranaguá
4118402
Paranavaí
4118501
Pato Branco
4119152
Pinhais
4119301
Pinhão
4119400
Piraí do Sul
4119509
Piraquara
4119608
Pitanga
4119905
Ponta Grossa
4120606
Prudentópolis
4120903
Quedas do Iguaçu
4121703
Reserva
4122206
Rio Branco do Sul
4122305
Rio Negro
4122404
Rolândia
4123501
Santa Helena
4124103
Santo Antônio da Platina
4125506
São José dos Pinhais
4125605
São Mateus do Sul
4125704
São Miguel do Iguaçu
4126256
Sarandi
4127106
Telêmaco Borba
4127700
Toledo
4128005
Ubiratã
4128104
Umuarama
4128203
União da Vitória
4128500
Wenceslau Braz
4199999
Rest of Paraná
4201307
Araquari
4201406
Araranguá
4202008
Balneário Camboriú
4202305
Biguaçu
4202404
Blumenau
4202800
Braço do Norte
4202909
Brusque
4203006
Caçador
4203204
Camboriú
4203600
Campos Novos
4203808
Canoinhas
4203907
Capinzal
4204202
Chapecó
4204301
Concórdia
4204608
Criciúma
4204806
Curitibanos
4205407
Florianópolis
4205506
Fraiburgo
4205902
Gaspar
4206504
Guaramirim
4206702
Herval d'Oeste
4207007
Içara
4207304
Imbituba
4207502
Indaial
4208203
Itajaí
4208302
Itapema
4208906
Jaraguá do Sul
4209003
Joaçaba
4209102
Joinville
4209300
Lages
4209409
Laguna
4210100
Mafra
4211306
Navegantes
4211900
Palhoça
4213203
Pomerode
4213609
Porto União
4214805
Rio do Sul
4215000
Rio Negrinho
4215802
São Bento do Sul
4216206
São Francisco do Sul
4216503
São Joaquim
4216602
São José
4217204
São Miguel do Oeste
4217709
Sombrio
4218004
Tijucas
4218202
Timbó
4218707
Tubarão
4219309
Videira
4219507
Xanxerê
4219705
Xaxim
4299999
Rest of Santa Catarina
4300406
Alegrete
4300604
Alvorada
4301602
Bagé
4302105
Bento Gonçalves
4302808
Caçapava do Sul
4303004
Cachoeira do Sul
4303103
Cachoeirinha
4303509
Camaquã
4303905
Campo Bom
4304200
Candelária
4304408
Canela
4304507
Canguçu
4304606
Canoas
4304630
Capão da Canoa
4304663
Capão do Leão
4304705
Carazinho
4304804
Carlos Barbosa
4305108
Caxias do Sul
4305355
Charqueadas
4306106
Cruz Alta
4306403
Dois Irmãos
4306601
Dom Pedrito
4306767
Eldorado do Sul
4306908
Encruzilhada do Sul
4307005
Erechim
4307609
Estância Velha
4307708
Esteio
4307807
Estrela
4307906
Farroupilha
4308201
Flores da Cunha
4308508
Frederico Westphalen
4308607
Garibaldi
4309100
Gramado
4309209
Gravataí
4309308
Guaíba
4310108
Igrejinha
4310207
Ijuí
4310603
Itaqui
4311007
Jaguarão
4311205
Júlio de Castilhos
4311304
Lagoa Vermelha
4311403
Lajeado
4311809
Marau
4312401
Montenegro
4313409
Novo Hamburgo
4313508
Osório
4313706
Palmeira das Missões
4313904
Panambi
4314050
Parobé
4314100
Passo Fundo
4314407
Pelotas
4314803
Portão
4314902
Porto Alegre
4315305
Quaraí
4315602
Rio Grande
4315701
Rio Pardo
4316402
Rosário do Sul
4316808
Santa Cruz do Sul
4316907
Santa Maria
4317103
Santana do Livramento
4317202
Santa Rosa
4317301
Santa Vitória do Palmar
4317400
Santiago
4317509
Santo Ângelo
4317608
Santo Antônio da Patrulha
4318002
São Borja
4318101
São Francisco de Assis
4318309
São Gabriel
4318408
São Jerônimo
4318507
São José do Norte
4318705
São Leopoldo
4318804
São Lourenço do Sul
4318903
São Luiz Gonzaga
4319604
São Sepé
4319901
Sapiranga
4320008
Sapucaia do Sul
4320800
Soledade
4321204
Taquara
4321303
Taquari
4321451
Teutônia
4321501
Torres
4321600
Tramandaí
4321808
Três de Maio
4321907
Três Passos
4322004
Triunfo
4322202
Tupanciretã
4322400
Uruguaiana
4322509
Vacaria
4322608
Venâncio Aires
4322707
Vera Cruz
4323002
Viamão
4399999
Rest of Rio Grande do Sul
5000609
Amambaí
5000708
Anastácio
5001102
Aquidauana
5002100
Bela Vista
5002407
Caarapó
5002704
Campo Grande
5003207
Corumbá
5003306
Coxim
5003702
Dourados
5004700
Ivinhema
5005004
Jardim
5005400
Maracaju
5005608
Miranda
5005707
Naviraí
5006200
Nova Andradina
5006309
Paranaíba
5006606
Ponta Porã
5007208
Rio Brilhante
5007901
Sidrolândia
5008305
Três Lagoas
5099999
Rest of Mato Grosso do Sul
5100250
Alta Floresta
5101407
Aripuanã
5101704
Barra do Bugres
5101803
Barra do Garças
5102504
Cáceres
5103205
Colíder
5103254
Colniza
5103403
Cuiabá
5104104
Guarantã do Norte
5104807
Jaciara
5105101
Juara
5105150
Juína
5105622
Mirassol d'Oeste
5106422
Peixoto de Azevedo
5106505
Poconé
5106752
Pontes e Lacerda
5107040
Primavera do Leste
5107602
Rondonópolis
5107909
Sinop
5107925
Sorriso
5107958
Tangará da Serra
5108402
Várzea Grande
5199999
Rest of Mato Grosso
5200258
Águas Lindas de Goiás
5200308
Alexânia
5201108
Anápolis
5201405
Aparecida de Goiânia
5204508
Caldas Novas
5205109
Catalão
5205406
Ceres
5205497
Cidade Ocidental
5206206
Cristalina
5208004
Formosa
5208608
Goianésia
5208707
Goiânia
5208905
Goiás
5209101
Goiatuba
5210000
Inhumas
5210109
Ipameri
5210208
Iporá
5210406
Itaberaí
5211206
Itapuranga
5211503
Itumbiara
5211800
Jaraguá
5211909
Jataí
5212204
Jussara
5212501
Luziânia
5213087
Minaçu
5213103
Mineiros
5213806
Morrinhos
5214606
Niquelândia
5215231
Novo Gama
5215603
Padre Bernardo
5217104
Piracanjuba
5217302
Pirenópolis
5217401
Pires do Rio
5217609
Planaltina
5218003
Porangatu
5218300
Posse
5218508
Quirinópolis
5218805
Rio Verde
5219308
Santa Helena de Goiás
5219753
Santo Antônio do Descoberto
5220108
São Luís de Montes Belos
5220207
São Miguel do Araguaia
5220454
Senador Canedo
5220603
Silvânia
5221403
Trindade
5221601
Uruaçu
5221858
Valparaíso de Goiás
5299999
Rest of Goiás
5300108
Brasília
Geography: A-L Variables -- HOUSEHOLD
Number of married couples in household
0
0
0
No married couples in household
1
1 couple
2
2 couples
3
3 couples
4
4 couples
5
5 couples
6
6 couples
7
7 couples
8
8 couples
9
9 or more couples
Constructed Household Variables -- HOUSEHOLD
Number of mothers in household
0
0
0
No mothers in household
1
1 mother
2
2 mothers
3
3 mothers
4
4 mothers
5
5 mothers
6
6 mothers
7
7 mothers
8
8 mothers
9
9 or more mothers in household
Constructed Household Variables -- HOUSEHOLD
Number of fathers in household
0
0
0
No fathers in household
1
1 father
2
2 fathers
3
3 fathers
4
4 fathers
5
5 fathers
6
6 fathers
7
7 fathers
8
8 fathers
9
9 or more fathers in household
Constructed Household Variables -- HOUSEHOLD
Country
0
0
32
Argentina
40
Austria
50
Bangladesh
51
Armenia
68
Bolivia
76
Brazil
112
Belarus
116
Cambodia
120
Cameroon
124
Canada
152
Chile
156
China
170
Colombia
188
Costa Rica
192
Cuba
214
Dominican Republic
218
Ecuador
222
El Salvador
231
Ethiopia
242
Fiji
250
France
275
Palestine
276
Germany
288
Ghana
300
Greece
324
Guinea
332
Haiti
348
Hungary
356
India
360
Indonesia
364
Iran
368
Iraq
372
Ireland
376
Israel
380
Italy
388
Jamaica
400
Jordan
404
Kenya
417
Kyrgyz Republic
430
Liberia
454
Malawi
458
Malaysia
466
Mali
484
Mexico
496
Mongolia
504
Morocco
508
Mozambique
524
Nepal
528
Netherlands
558
Nicaragua
566
Nigeria
586
Pakistan
591
Panama
600
Paraguay
604
Peru
608
Philippines
620
Portugal
630
Puerto Rico
642
Romania
646
Rwanda
662
Saint Lucia
686
Senegal
694
Sierra Leone
704
Vietnam
705
Slovenia
710
South Africa
724
Spain
728
South Sudan
729
Sudan
756
Switzerland
764
Thailand
792
Turkey
800
Uganda
804
Ukraine
818
Egypt
826
United Kingdom
834
Tanzania
840
United States
854
Burkina Faso
858
Uruguay
862
Venezuela
894
Zambia
Technical Household Variables -- HOUSEHOLD
Electricity
0
0
ELECTRIC indicates whether the household had access to electricity.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Utilities Variables -- HOUSEHOLD
Number of bedrooms
0
0
BEDROOMS indicates the number of rooms available to members of the household for sleeping.
0
No bedrooms
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20+
98
Unknown
99
NIU (not in universe)
Dwelling Characteristics Variables -- HOUSEHOLD
Number of bathrooms
0
0
BATHROOMS indicates the number of bathrooms in the dwelling available for use by the household.
0
No bathrooms (or half bathroom)
1
1 bathroom
2
2 bathrooms
3
3 bathrooms
4
4 bathrooms
5
5 bathrooms
6
6 bathrooms
7
7 bathrooms
8
8 bathrooms
9
9 bathrooms
10
10 bathrooms
98
Unknown
99
NIU (not in universe)
Dwelling Characteristics Variables -- HOUSEHOLD
Ownership of dwelling [general version]
0
0
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
0
NIU (not in universe)
1
Owned
2
Not owned
9
Unknown
Household Economic Variables -- HOUSEHOLD
Ownership of dwelling [detailed version]
0
0
OWNERSHIP indicates whether a member of the household owned the housing unit. Households that acquired their unit with a mortgage or other lending arrangement were understood to "own" their unit even if they had not yet completed repayment. For those that did not own their housing unit, several options were possible: renting (from various types of owners), subletting, usufruct, and de facto occupation.
0
NIU (not in universe)
100
Owned
110
Owned, already paid
120
Owned, still paying
130
Owned, constructed
140
Owned, inherited
190
Owned, other
191
Owned, house
192
Owned, condominium
193
Apartment proprietor
194
Shared ownership
200
Not owned
210
Renting, not specified
211
Renting, government
212
Renting, local authority
213
Renting, parastatal
214
Renting, private
215
Renting, private company
216
Renting, individual
217
Renting, collective
218
Renting, joint state and individual
219
Renting, public subsidized
220
Renting, private subsidized
221
Renting, co-tenant
222
Renting, relative of tenant
223
Renting, cooperative
224
Renting, with a job or business
225
Renting, loan-backed habitation
226
Renting, mixed contract
227
Furnished dwelling
228
Sharecropping
230
Subletting
231
Rent to own
239
Renting, other
240
Occupied de facto/squatting
250
Free/usufruct (no cash rent)
251
Free, provided by employer
252
Free, without work or services
253
Free, provided by family or friend
254
Free, private
255
Free, public
256
Free, condemned
257
Free, other
290
Not owned, other
999
Unknown
Household Economic Variables -- HOUSEHOLD
Computer
0
0
COMPUTER indicates whether the household had a personal computer.
0
NIU (not in universe)
1
No
2
Yes
9
Unknown/missing
Appliances, Mechanicals, Other Amenities Variables -- HOUSEHOLD
Strata identifier
0
0
This variable is the strata identifier for the sample. The STRATA variable provides information about the sample design that can be used to improve estimation.
STRATA is a 12-digit numeric variable.
Technical Household Variables -- HOUSEHOLD
Person number
0
0
PERNUM numbers all persons within each household consecutively (starting with "1" for the first person record of each household). When combined with SAMPLE and SERIAL, PERNUM uniquely identifies each person in the IPUMS-International database.
PERNUM is a 3-digit numeric variable.
Technical Person Variables -- PERSON
Mother's location in household
0
0
Constructed Family Interrelationship Variables -- PERSON
Father's location in household
0
0
Constructed Family Interrelationship Variables -- PERSON
Spouse's location in household
0
0
Constructed Family Interrelationship Variables -- PERSON
Rule for linking parent
0
0
0
No parent of person in household
11
Link to head or spouse, unambiguous
12
Link to head or spouse, ambiguous
21
Child-Grandchild, within empirical child cap
22
Child-Grandchild, within constructed child cap
23
Child-Grandchild, exceeds child cap
31
Specified Other Relatives, within empirical child cap
32
Specified Other Relatives, within constructed child cap
33
Specified Other Relatives, exceeds child cap
41
Other Relatives, within empirical child cap
42
Other Relatives, within constructed child cap
51
Non-Relatives, within empirical child cap
52
Non-Relatives, within constructed child cap
Constructed Family Interrelationship Variables -- PERSON
Rule for linking spouse
0
0
0
No spouse present
1
Rule 1: strong relationship pairing, couple adjacent
2
Rule 2: strong relationship pairing, couple not adjacent
3
Rule 3: weak relationship pairing, couple adjacent
4
Rule 4: weak relationship pairing, couple not adjacent
5
Rule 5: weak consensual union pairings
6
Rule 6: sample-specific rules (usually child-to-child)
Constructed Family Interrelationship Variables -- PERSON
Probable stepmother
0
0
0
Biological mother or no mother present
1
Mother has no children borne or surviving
2
Child reports mother is deceased
3
Explicitly identified step relationship
4
Mother reports no children in the home
5
Age difference implausible
6
Child exceeds known fertility of mother
Constructed Family Interrelationship Variables -- PERSON
Probable stepfather
0
0
0
Biological father or no father present
1
Child reports father is deceased
2
Explicitly identified step relationship
3
Age difference implausible
Constructed Family Interrelationship Variables -- PERSON
Man with more than one wife linked
0
0
0
No more than one wife linked via SPLOC
1
More than one wife linked via SPLOC
Constructed Family Interrelationship Variables -- PERSON
Woman is second or higher order wife
0
0
0
Person is not the 2nd or higher order wife linked via SPLOC
1
Person is the 2nd or higher order wife linked via SPLOC
Constructed Family Interrelationship Variables -- PERSON
Family unit membership
0
0
Constructed Family Interrelationship Variables -- PERSON
Number of own family members in household
0
0
1
1 family member present
2
2 family members present
3
3 family members present
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99 or more persons
Constructed Family Interrelationship Variables -- PERSON
Number of own children in household
0
0
NCHILD provides a count of the person's own children living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more children in household
Constructed Family Interrelationship Variables -- PERSON
Number of own children under age 5 in household
0
0
NCHLT5 provides a count of the person's own children under age five living in the household with her or him. These include all children linked to the person via the constructed IPUMS pointer variables MOMLOC or POPLOC -- mother's and father's location in the household.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9 or more own children under age 5 in household
Constructed Family Interrelationship Variables -- PERSON
Age of eldest own child in household
0
0
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
Constructed Family Interrelationship Variables -- PERSON
Age of youngest own child in household
0
0
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50 or older
99
No own child in household
Constructed Family Interrelationship Variables -- PERSON
Relationship to household head [general version]
0
0
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
1
Head
2
Spouse/partner
3
Child
4
Other relative
5
Non-relative
6
Other relative or non-relative
9
Unknown
Demographic Variables -- PERSON
Relationship to household head [detailed version]
0
0
RELATE describes the relationship of the individual to the head of household (sometimes called the householder or reference person).
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
2300
Same-sex spouse/partner
3000
Child
3100
Biological child
3200
Adopted child
3300
Stepchild
3400
Child/child-in-law
3500
Child/child-in-law/grandchild
3600
Child of unmarried partner
4000
Other relative
4100
Grandchild
4110
Grandchild or great grandchild
4120
Great grandchild
4130
Great-great grandchild
4200
Parent/parent-in-law
4210
Parent
4211
Stepparent
4220
Parent-in-law
4300
Child-in-law
4301
Daughter-in-law
4302
Spouse/partner of child
4310
Unmarried partner of child
4400
Sibling/sibling-in-law
4410
Sibling
4420
Stepsibling
4430
Sibling-in-law
4431
Sibling of spouse/partner
4432
Spouse/partner of sibling
4500
Grandparent
4510
Great grandparent
4600
Parent/grandparent/ascendant
4700
Aunt/uncle
4800
Other specified relative
4810
Nephew/niece
4820
Cousin
4830
Sibling of sibling-in-law
4900
Other relative, not elsewhere classified
4910
Other relative with same family name
4920
Other relative with different family name
4930
Other relative, not specified (secondary family)
5000
Non-relative
5100
Friend/guest/visitor/partner
5110
Partner/friend
5111
Friend
5112
Partner/roommate
5113
Housemate/roommate
5120
Visitor
5130
Ex-spouse
5140
Godparent
5150
Godchild
5200
Employee
5210
Domestic employee
5220
Relative of employee, n.s.
5221
Spouse of servant
5222
Child of servant
5223
Other relative of servant
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5320
Lodger
5330
Foster child
5340
Tutored/foster child
5350
Tutored child
5400
Employee, boarder or guest
5500
Other specified non-relative
5510
Agregado
5520
Temporary resident, guest
5600
Group quarters
5610
Group quarters, non-inmates
5620
Institutional inmates
5900
Non-relative, n.e.c.
6000
Other relative or non-relative
9999
Unknown
Demographic Variables -- PERSON
Age
0
0
AGE gives age in years as of the person's last birthday prior to or on the day of enumeration.
0
Less than 1 year
1
1 year
2
2 years
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100+
999
Not reported/missing
Demographic Variables -- PERSON
Age, grouped into intervals
0
0
AGE2 gives computed years of age grouped into intervals.
1
0 to 4
2
5 to 9
3
10 to 14
4
15 to 19
5
15 to 17
6
18 to 19
7
18 to 24
8
20 to 24
9
25 to 29
10
30 to 34
11
35 to 39
12
40 to 44
13
45 to 49
14
50 to 54
15
55 to 59
16
60 to 64
17
65 to 69
18
70 to 74
19
75 to 79
20
80+
98
Unknown
Demographic Variables -- PERSON
Sex
0
0
SEX reports the sex (gender) of the respondent.
1
Male
2
Female
9
Unknown
Demographic Variables -- PERSON
Marital status [general version]
0
0
0
NIU (not in universe)
1
Single/never married
2
Married/in union
3
Separated/divorced/spouse absent
4
Widowed
9
Unknown/missing
Demographic Variables -- PERSON
Marital status [detailed version]
0
0
0
NIU (not in universe)
100
Single/never married
110
Engaged
111
Never married and never cohabited
200
Married or consensual union
210
Married, formally
211
Married, civil
212
Married, religious
213
Married, civil and religious
214
Married, civil or religious
215
Married, traditional/customary
216
Married, monogamous
217
Married, polygamous
220
Consensual union
300
Separated/divorced/spouse absent
310
Separated or divorced
320
Separated or annulled
330
Separated
331
Separated legally
332
Separated de facto
333
Separated from marriage
334
Separated from consensual union
335
Separated from consensual union or marriage
340
Annulled
350
Divorced
360
Married, spouse absent
400
Widowed
410
Widowed or divorced
411
Widowed from consensual union or marriage
412
Widowed from marriage
413
Widowed from consensual union
420
Widowed, divorced, or separated
999
Unknown/missing
Demographic Variables -- PERSON
Consensual union
0
0
CONSENS indicates whether the respondent was in a consensual union -- a de facto marriage.
1
Yes, in consensual union
2
No, married
8
Unknown
9
NIU (not in universe)
Demographic Variables -- PERSON
Relationship to head of subfamily
0
0
1000
Head
2000
Spouse/partner
2100
Spouse
2200
Unmarried partner
3000
Child
3100
Biological child
3200
Adopted or step child
4000
Other relative
4100
Grandchild
4200
Parent/parent-in-law
4210
Parent
4220
Parent-in-law
4300
Child-in-law
4400
Sibling/sibling-in-law
4410
Sibling
4430
Sibling-in-law
4500
Grandparent
4600
Parent/grandparent
4810
Nephew/niece
4900
Other relative, n.e.c.
5000
Non-relative
5120
Visitor
5210
Domestic employee
5220
Relative of employee, n.s.
5300
Roomer/boarder/lodger/foster child
5310
Boarder
5311
Boarder or guest
5400
Employee, boarder or guest
5510
Agregado
5600
Group quarters
6000
Other relative or non-relative
9999
Unknown
Demographic Variables -- PERSON
Subfamily membership number
0
0
0
Non-family
1
1st subfamily
2
2nd subfamily
3
3rd subfamily
4
4th subfamily
5
5th subfamily
6
6th subfamily
7
7th subfamily
8
8th subfamily
9
9th subfamily
10
10th subfamily
11
11th subfamily
12
12th subfamily
13
13th subfamily
Demographic Variables -- PERSON
Children ever born
0
0
CHBORN reports the number of children ever born to each woman of whom the question was asked. In most samples, women were to report all live births by all fathers, whether or not the child was still living.
0
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Children surviving
0
0
CHSURV reports the number of children born to a woman who were still living at the time of the census.
0
No children
1
1 child
2
2 children
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30+
98
Unknown
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
State of birth, Brazil
0
0
BPLBR indicates the person's state of birth within Brazil.
11
Rondônia
12
Acre
13
Amazonas
14
Roraima
15
Pará
16
Amapá
17
Tocantins
21
Maranhão
22
Piauí
23
Ceará
24
Rio Grande Do Norte
25
Paraíba
26
Pernambuco
27
Alagoas
28
Sergipe
29
Bahia
31
Minas Gerais
32
Espirito Santo
33
Estado Do Rio
34
Guanabara
35
São Paulo
36
Serra Dos Aimorés
41
Paraná
42
Santa Catarina
43
Rio Grande Do Sul
50
Mato Grosso do Sul
51
Mato Grosso
52
Goiás
53
Brasília (D.F.)
91
Fernando De Noronha
92
Rio Branco
97
Brazil, not specified
98
Abroad
99
Unknown
Nativity and Birthplace Variables -- PERSON
Race or color
0
0
Race identifies the racial group with which a person identified himself or herself, or to which an enumerator assigned them. Determinations of race are based largely on appearance or ancestral place of origin.
10
White
20
Black
21
Black African
22
Black Caribbean
23
Afro-Ecuadorian
24
Other Black
30
Indigenous
31
American Indian
40
Asian
41
Chinese
42
Japanese
43
Korean
44
Vietnamese
45
Filipino
46
Indian
47
Pakistani
48
Bangladeshi
49
Other Asian
50
Mixed race
51
Brown (Brazil)
52
Mestizo (Indigenous and White)
53
Mulatto (Black and White)
54
Coloured (South Africa)
55
Two or more races
60
Other
61
Montubio (Ecuador)
99
Unknown
Ethnicity and Language Variables -- PERSON
Member of an indigenous group
0
0
INDIG indicates whether the person belonged to an indigenous group.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Ethnicity and Language Variables -- PERSON
School attendance
0
0
SCHOOL indicates whether or not the person attended school at the time of the census or within some specified period of time prior to the census.
0
NIU (not in universe)
1
Yes
2
No, not specified
3
No, attended in the past
4
No, never attended
9
Unknown/missing
Education Variables -- PERSON
Literacy
0
0
LIT indicates whether or not the respondent could read and write in any language. A person is typically considered literate if he or she can both read and write. All other persons are illiterate, including those who can either read or write but cannot do both.
0
NIU (not in universe)
1
No, illiterate
2
Yes, literate
9
Unknown/missing
Education Variables -- PERSON
Educational attainment, Brazil
0
0
EDUCBR usually indicates the person's educational attainment in terms of the amount of schooling completed -- both the level (for example, primary, secondary, or higher education) and typically the number of years or grades completed at that level. For some classifications, the variable indicates the level or grade that the person is currently attending; all such classifications are explicitly indicated in the code labels for EDUCBR.
0
None, or never attended school
1000
Less than primary
1100
Attending day-care center
1200
Attending pre-school
1300
Attending child literacy course
1400
Attending adult literacy course
1500
Attended adult literacy course
1600
Attended day-care center, pre-school, or child literacy course
1700
Attending first grade of primary school
2000
Primary
2100
Primary 1-4 (new system) or elementary (old system)
2110
Primary 1-4 or elementary, grade 1
2120
Primary 1-4 or elementary, grade 2
2130
Primary 1-4 or elementary, grade 3
2140
Primary 1-4 or elementary, grade 4+
2141
Primary 1-4 or elementary, grade 4
2142
Primary 1-4 or elementary, grade 5
2143
Primary 1-4 or elementary, grade 6
2144
Primary 1-4 or elementary, grade 5 or 6
2190
Primary 1-4 or elementary, grade unspecified
2191
Primary 1-4 or elementary, admission course
2192
Primary 1-4 or elementary, adult literacy
2200
Primary 5-8 (new system) or middle school (old system)
2210
Primary 5-8 or middle, grade 5
2220
Primary 5-8 or middle, grade 6
2230
Primary 5-8 or middle, grade 7
2240
Primary 5-8 or middle, grade 8+
2241
Primary 5-8 or middle, grade 8
2242
Primary 5-8 or middle, grade 9
2243
Primary 5-8 or middle, grade 9 or 10
2290
Primary 5-8 or middle, grade unspecified
2291
Primary 5-8 or middle, article 99 course
2900
Primary, grade unspecified
3000
Secondary
3100
Secondary, grade 1
3200
Secondary, grade 2
3300
Secondary, grade 3
3400
Secondary, grade 4
3900
Secondary, grade unspecified
3910
Secondary, admission course
3920
Secondary, article 99 course
4000
Higher education
4100
Undergraduate program
4110
Higher education, undergraduate, grade 1
4120
Higher education, undergraduate, grade 2
4130
Higher education, undergraduate, grade 3
4140
Higher education, undergraduate, grade 4
4150
Higher education, undergraduate, grade 5
4160
Higher education, undergraduate, grade 6
4170
Attending
4180
Attended
4190
Completed
4200
Graduate program
4210
Masters or doctorate, attending
4220
Masters or doctorate, attended
4230
Masters, attending
4240
Masters, attended
4250
Doctorate, attending
4260
Doctorate, attended
4270
Postgraduate specialization, attending
4280
Postgraduate specialization, attended
4300
Undergraduate or graduate program unspecified
4310
Higher education, grade 1
4320
Higher education, grade 2
4330
Higher education, grade 3
4340
Higher education, grade 4
4350
Higher education, grade 5
4360
Higher education, grade 6
4370
Higher education, grade 5 or 6
4900
Higher education, grade unspecified
8000
Unknown/missing
9000
NIU (not in universe)
Education Variables -- PERSON
Activity status (employment status) [general version]
0
0
0
NIU (not in universe)
1
Employed
2
Unemployed
3
Inactive
9
Unknown/missing
Work Variables -- PERSON
Activity status (employment status) [detailed version]
0
0
0
NIU (not in universe)
100
Employed, not specified
110
At work
111
At work, and 'student'
112
At work, and 'housework'
113
At work, and 'seeking work'
114
At work, and 'retired'
115
At work, and 'no work'
116
At work, and other situation
117
At work, family holding, not specified
118
At work, family holding, not agricultural
119
At work, family holding, agricultural
120
Have job, not at work in reference period
130
Armed forces
131
Armed forces, at work
132
Armed forces, not at work in reference period
133
Military trainee
140
Marginally employed
200
Unemployed, not specified
201
Unemployed 6 or more months
202
Worked fewer than 6 months, permanent job
203
Worked fewer than 6 months, temporary job
210
Unemployed, experienced worker
220
Unemployed, new worker
230
No work available
240
Inactive unemployed
300
Inactive (not in labor force)
310
Housework
320
Unable to work/disabled
321
Permanent disability
322
Temporary illness
323
Disabled or imprisoned
330
In school
340
Retirees and living on rent
341
Living on rents
342
Living on rents or pension
343
Retirees/pensioners
344
Retired
345
Pensioner
346
Non-retirement pension
347
Disability pension
348
Retired without benefits
350
Elderly
351
Elderly or disabled
360
Institutionalized
361
Prisoner
370
Intermittent worker
371
Not working, seasonal worker
372
Not working, occasional worker
380
Other income recipient
390
Inactive, other reasons
391
Too young to work
392
Dependent
999
Unknown/missing
Work Variables -- PERSON
Occupation, ISCO general
0
0
OCCISCO records the person's primary occupation, coded according to the major categories in the International Standard Classification of Occupations (ISCO) scheme for 1988. For someone with more than one job, the primary occupation is typically the one in which the person had spent the most time or earned the most money.
1
Legislators, senior officials and managers
2
Professionals
3
Technicians and associate professionals
4
Clerks
5
Service workers and shop and market sales
6
Skilled agricultural and fishery workers
7
Crafts and related trades workers
8
Plant and machine operators and assemblers
9
Elementary occupations
10
Armed forces
11
Other occupations, unspecified or n.e.c.
97
Response suppressed
98
Unknown
99
NIU (not in universe)
Work Variables -- PERSON
Occupation, unrecoded
0
0
Work Variables -- PERSON
Industry, general recode
0
0
0
NIU (not in universe)
10
Agriculture, fishing, and forestry
20
Mining
30
Manufacturing
40
Electricity, gas and water
50
Construction
60
Wholesale and retail trade
70
Hotels and restaurants
80
Transportation and communications
90
Financial services and insurance
100
Public administration and defense
110
Services, not specified
111
Real estate and business services
112
Education
113
Health and social work
114
Other services
120
Private household services
130
Other industry, n.e.c.
998
Response suppressed
999
Unknown
Work Variables -- PERSON
Industry, unrecoded
0
0
"Industry" refers to the activity or product of the establishment or sector in which the person worked. IND is classified according to the system used by the respective national census office at the time, and is not recoded by IPUMS-International.
Work Variables -- PERSON
Status in employment (class of worker) [general version]
0
0
0
NIU (not in universe)
1
Self-employed
2
Wage/salary worker
3
Unpaid worker
4
Other
9
Unknown/missing
Work Variables -- PERSON
Status in employment (class of worker) [detailed version]
0
0
0
NIU (not in universe)
100
Self-employed
101
Self-employed, unincorporated
102
Self-employed, incorporated
110
Employer
111
Sharecropper, employer
120
Working on own account
121
Own account, agriculture
122
Domestic worker, self-employed
123
Subsistence worker, own consumption
124
Own account, other
125
Own account, without temporary/unpaid help
126
Own account, with temporary/unpaid help
130
Member of cooperative
140
Sharecropper
141
Sharecropper, self-employed
142
Sharecropper, employee
150
Kibbutz member
200
Wage/salary worker
201
Management
202
Non-management
203
White collar (non-manual)
204
Blue collar (manual)
205
White and blue collar
206
Day laborer
207
Employee, with a permanent job
208
Employee, occasional, temporary, contract
209
Employee without legal contract
210
Wage/salary worker, private employer
211
Apprentice
212
Religious worker
213
Wage/salary worker, non-profit, NGO
214
White collar, private
215
Blue collar, private
216
Paid family worker
217
Cooperative employee
220
Wage/salary worker, government
221
Federal, government employee
222
State government employee
223
Local government employee
224
White collar, public
225
Blue collar, public
226
Public companies
227
Civil servants, local collectives
230
Domestic worker (work for private household)
240
Seasonal migrant
241
Seasonal migrant, no broker
242
Seasonal migrant, uses broker
250
Other wage and salary
251
Canal zone/commission employee
252
Government employment/training program
253
Mixed state/private enterprise/parastatal
254
Government public work program
300
Unpaid worker
310
Unpaid family worker
320
Apprentice, unpaid or unspecified
330
Trainee
340
Apprentice or trainee
350
Works for others without wage
400
Other
999
Unknown/missing
Work Variables -- PERSON
Hours worked in main occupation
0
0
HRSMAIN indicates the number of hours the respondent worked per week in jobs related to their primary occupation.
0
0 hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
97
97 hours
98
98 hours
99
99 hours
100
100 hours
101
101 hours
102
102 hours
103
103 hours
104
104 hours
105
105 hours
106
106 hours
107
107 hours
108
108 hours
109
109 hours
110
110 hours
111
111 hours
112
112 hours
113
113 hours
114
114 hours
115
115 hours
116
116 hours
117
117 hours
118
118 hours
119
119 hours
120
120 hours
121
121 hours
122
122 hours
123
123 hours
124
124 hours
125
125 hours
126
126 hours
127
127 hours
128
128 hours
129
129 hours
130
130 hours
131
131 hours
132
132 hours
133
133 hours
134
134 hours
135
135 hours
136
136 hours
137
137 hours
138
138 hours
139
139 hours
140
140+ hours
998
Unknown
999
NIU (not in universe)
Work Variables -- PERSON
Hours worked outside of main occupation
0
0
0
No hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
98
Unknown
99
NIU (not in universe)
Work Variables -- PERSON
Total income
0
0
INCTOT reports the person's total personal income from all sources in the previous month or year.
Income Variables -- PERSON
Earned income
0
0
INCEARN reports the person's total income from their labor (from wages, a business, or a farm) in the previous month or year.
Income Variables -- PERSON
State of previous residence, Brazil
0
0
0
NIU (not in universe)
11
Rondônia
12
Acre
13
Amazonas
14
Roraima
15
Pará
16
Amapá
17
Tocantins
21
Maranhão
22
Piauí
23
Ceará
24
Rio Grande Do Norte
25
Paraíba
26
Pernambuco
27
Alagoas
28
Sergipe
29
Bahia
31
Minas Gerais
32
Espirito Santo
33
Estado Do Rio
34
Guanabara
35
São Paulo
36
Serra Dos Aimorés
41
Paraná
42
Santa Catarina
43
Rio Grande Do Sul
50
Mato Grosso do Sul
51
Mato Grosso
52
Goiás
53
Brasília (D.F.)
91
Fernando De Noronha
92
Rio Branco
97
Brazil, unspecified
98
Abroad
99
Unknown
Migration Variables -- PERSON
State of residence 5 years ago, Brazil
0
0
MIGBR2 indicates the person's state of residence within Brazil 5 years ago.
0
NIU (not in universe)
11
Rondônia
12
Acre
13
Amazonas
14
Roraima
15
Pará
16
Amapá
17
Tocantins
21
Maranhão
22
Piauí
23
Ceará
24
Rio Grande Do Norte
25
Paraíba
26
Pernambuco
27
Alagoas
28
Sergipe
29
Bahia
31
Minas Gerais
32
Espirito Santo
33
Estado Do Rio
34
Guanabara
35
São Paulo
36
Serra Dos Aimorés
41
Paraná
42
Santa Catarina
43
Rio Grande Do Sul
50
Mato Grosso do Sul
51
Mato Grosso
52
Goiás
53
Brasília (D.F.)
97
Brazil, unspecified
98
Abroad
99
Unknown
Migration Variables -- PERSON
Blind or vision-impaired
0
0
DISBLND indicates whether the person was blind or had limited vision.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Disability Variables -- PERSON
Deaf or hearing-impaired
0
0
DISDEAF indicates whether the person was deaf or had limited hearing.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Disability Variables -- PERSON
Disability affecting lower extremities
0
0
DISLOWR indicates whether the person lacked use of one or both legs.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Disability Variables -- PERSON
Mental disability
0
0
DISMNTL indicates whether the person suffered a mental disability in the form of diminished capacity.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Disability Variables -- PERSON
Person number
Person number
All records
0
0
This variable indicates the person number.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
Technical Person Variables -- PERSON
Metropolitan region
Metropolitan region
All persons
0
0
This variable indicates the metropolitan region.
1
Belém
2
Grande São Luís
3
Fortaleza
4
Natal
5
Recife
6
Maceió
7
Salvador
8
Belo Horizonte
9
Belt around the Belo Horizonte MR (Metropolitan Region)
10
Vale do Aço
11
Belt around Vale do Aço MR
12
Grande Vitória
13
Rio de Janeiro
14
São Paulo
15
Santos Coastal Region
16
Campinas
17
Curitiba
18
Londrina
19
Maringá
20
Florianópolis
21
Metropolitan Expansion Area - Florianópolis MR
22
Metropolitan Nucleus - Vale do Itajaí MR
23
Metropolitan Expansion Area - Vale do Itajaí MR
24
North/NE Santa Catarina
25
Metropolitan Expansion Area - North/NE Santa Catarina
26
Porto Alegre
27
Goiânia
28
Undocumented
99
NIU (not in universe)
Other Person Variables -- PERSON
Respondent provided own information
Respondent provided own information
All persons
0
0
This variable indicates whether the person himself or herself provided the information.
1
Yes
2
No
Other Person Variables -- PERSON
Sex
All persons
0
0
This variable indicates gender.
1
Male
2
Female
Demographic Variables -- PERSON
Flag for sex
Flag for sex
All persons
0
0
This variable indicates data quality flag for sex.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Relationship to head of household
All persons
0
0
This variable indicates the relationship with the person responsible for the household.
1
Person responsible
2
Spouse, partner
3
Child, stepchild
4
Father, mother, parent-in-law
5
Grandchild, great grandchild
6
Sibling
7
Other relative
8
Agregado(a): permanent resident who is not a relative, boarder or employee
9
Boarder
10
Domestic employee
11
Relative of domestic employee
12
Individual in collective dwelling
Demographic Variables -- PERSON
Flag for relationship to head of household
Flag for relationship to head of household
All persons
0
0
This variable indicates data quality flag for relationship with the person responsible for the household.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Relationship to head of family
All persons
0
0
This variable indicates the relationship with the person responsible for the family.
1
Person responsible
2
Spouse, partner
3
Child, stepchild
4
Father, mother, parent-in-law
5
Grandchild, great grandchild
6
Sibling
7
Other relative
8
Agregado(a): permanent resident who is not a relative, boarder or employee
9
Boarder
10
Domestic employee
11
Relative of domestic employee
12
Individual in collective dwelling
Demographic Variables -- PERSON
Flag for relationship to head of family
Flag for relationship to head of family
All persons
0
0
This variable indicates data quality flag for relationship with the person responsible for the family.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Family number
All persons
0
0
This variable indicates the family number.
0
Individual in group quarters
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
Technical Person Variables -- PERSON
Flag for family number
Flag for family number
All persons
0
0
This variable indicates data quality flag for family number.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Age
All persons
0
0
This variable indicates the calculated age in completed years.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100
101
101
102
102
103
103
104
104
105
105
106
106
107
107
108
108
109
109
110
110
111
111
112
112
113
113
114
114
115
115
116
116
117
117
118
118
119
119
120
120
121
121
122
122
123
123
124
124
125
125
126
126
127
127
128
128
129
129
130
130
Demographic Variables -- PERSON
Flag for age
Flag for age
All persons
0
0
This variable indicates data quality flag for calculated age in complete years.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Age in months
Persons less than a year old
0
0
This variable indicates the calculated age in months.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
99
NIU (not in universe)
Demographic Variables -- PERSON
Flag for age in months
Flag for age in months
All persons
0
0
This variable indicates data quality flag for calculated age in months.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Flag for age
All persons
0
0
This variable indicates an indicator for the type of age declared (birth date or estimated age).
1
Birth date
2
Estimated age
Person Imputation Flags Variables -- PERSON
Color or race
All persons
0
0
This variable indicates color or race.
1
White
2
Black
3
Yellow
4
Brown
5
Indigenous
9
Unknown
Ethnicity and Language Variables -- PERSON
Flag for color or race
Flag for color or race
All persons
0
0
This variable indicates data quality flag for color or race.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Religion, 2 digits
All persons
0
0
This variable indicates religion, 2 digits.
0
No religion
11
Roman Catholic Apostolic
12
Brazilian Catholic Apostolic
13
Orthodox Catholic
14
Christian Orthodox
19
Other Catholic
21
Evangelical Protestant Of The Lutheran Persuasion
22
Evangelical Protestant Of The Presbyterian Persuasion
23
Protestant Evangelical Of The Methodist Persuasion
24
Evangelical Protestant Of The Baptist Persuasion
25
Evangelical Protestant Of The Congregational Persuasion
26
Evangelical Protestant Of The Adventist Persuasion
27
Evangelical Protestant Of The Anglican Episcopalian Persuasion
28
Evangelical Protestant Of The Mennonite Persuasion
30
Salvation Army
31
Evangelical Protestant Assembly Of God Of Pentecostal Origin
32
Evangelical Protestant Congregational Christian Of Brazil Of Pentecostal Origin
33
Evangelical Protestant Brazil For Christ Of Pentecostal Origin
34
Evangelical Protestant Foursquare Gospel Church Of Pentecostal Origin
35
Evangelical Protestant Universal Of The Kingdom Of God Of Pentecostal Origin
36
Evangelical Protestant House Of The Blessing Of Pentecostal Origin
37
Evangelical Protestant House Of Prayer Of Pentecostal Origin
38
Evangelical Protestant God Is Love Of Origin Pentecostal
39
Evangelical Protestant Maranata Of Pentecostal Origin
40
Renewed Evangelical Protestant Without Institutional Ties
41
Pentecostal Evangelical Protestant Without Institutional Ties
42
Evangelical Protestant Christian Community Of Pentecostal Origin
43
New Life Evangelical Protestant Of Pentecostal Origin
44
Evangelical Protestant Community Of Pentecostal Origin
45
Other Evangelical Protestant Churches Of Pentecostal Origin
46
Evangelical Protestant Biblical Revival Of Pentecostal Origin
47
Evangelical Protestant Chain Of Prayer Of Origin Pentecostal
48
Evangelical Protestant Church Of The Nazarene Of Pentecostal Origin
49
Undetermined Evangelical Protestant
51
Church Of Jesus Christ Of The Latter Day Saints
52
Evangelical Protestant Jehovah's Witnesses
53
Lbv/Religion Of God
59
Spiritualist [Espiritualista]
61
Spiritualist [Espírita]
62
Umbanda
63
Candomblé
64
Other Declarations Of Afro-Brazilian Religiosity
71
Judaism
74
Hinduism
75
Buddhism
76
New Oriental Religions
79
Other Oriental Religions
81
Islamism
82
Esoteric Traditions
83
Brazilian Indigenous Traditions
85
Christian Religiosity Without Institutional Ties
89
Undetermined
99
Unknown
Ethnicity and Language Variables -- PERSON
Religion, 3 digits
All persons
0
0
This variable indicates religion, 3 digits.
0
No religion
110
Roman Catholic Apostolic
111
Catholic Charismatic, Catholic Pentecostal
112
Catholic Armenian, Catholic Ukrainian
120
Brazilian Catholic Apostolic
130
Orthodox Catholic
140
Christian Orthodox
149
Christian Orthodox, other
199
Other Catholic
210
Lutheran Churches
219
Lutheran Churches, other
220
Evangelical Presbyterian Church
221
Independent Presbyterian Church
222
Presbyterian Church of Brazil
223
United Presbyterian Church
224
Fundamentalist Presbyterian
225
Renewed Presbyterian
229
Evangelical Protestant of the Presbyterian Persuasion, other
230
Evangelical Methodist Church
231
Wesleyan Evangelical Methodist
232
Orthodox Evangelical Methodist
239
Protestant Evangelical of the Methodist Persuasion, other
240
Evangelical Baptist Church
241
Brazilian Baptist Convention
242
National Baptist Convention
243
Pentecostal Baptist
244
Biblical Baptist
245
Renewed Baptist
249
Evangelical Protestant of the Baptist Persuasion, other
250
Evangelical Congregational Church
251
Independent Congregational Church
259
Evangelical Protestant of the Congregational Persuasion, other
260
Evangelical Seventh-Day Adventist Church
261
Reform Movement of the Evangelical Adventist Church
262
Evangelical Adventist Church of the Promise
269
Evangelical Protestant of the Adventist Persuasion, other
270
Evangelical Anglican Episcopal Church
279
Evangelical Protestant of the Anglican Episcopalian Persuasion, other
280
Evangelical Mennonite Church
289
Evangelical Protestant of the Mennonite Persuasion, other
300
Salvation Army
310
Evangelical Assembly of God Church
311
Madureira Assembly of God Church
312
All Saints Assembly of God Church
319
Salvation Army, other
320
Congregational Christian Church of Brazil
329
Evangelical Protestant Congregational Christian of Brazil of Pentecostal Origin, other
330
Evangelical Pentecostal Brazil for Christ Church
339
Evangelical Protestant Brazil for Christ of Pentecostal Origin, other
340
Foursquare Gospel Church
349
Evangelical Protestant Foursquare Gospel Church of Pentecostal Origin, other
350
Universal Church of the Kingdom of God
359
Evangelical Protestant Universal of the Kingdom of God of Pentecostal Origin, other
360
Evangelical House of the Blessing Church
369
Evangelical Protestant House of the Blessing of Pentecostal Origin, other
370
Evangelical House of Prayer Church
379
Evangelical Protestant House of Prayer of Pentecostal Origin, other
380
Evangelical Pentecostal God Is Love Church
389
Evangelical Protestant God is Love of Origin Pentecostal, other
390
Evangelical Pentecostal Maranata Church
399
Evangelical Protestant Maranata of Pentecostal origin, other
400
Renewed, Restored and Reformed Evangelical Without Institutional Ties
401
Renewed, Restored and Reformed Pentecostal Without Institutional Ties
409
Renewed Evangelical Protestant without institutional ties, other
410
Pentecostal Evangelical Without Institutional Ties
419
Pentecostal Evangelical Protestant without instiutional ties, other
420
Evangelical Christian Community Church
429
Evangelical Protestant Christian Community of Pentecostal Origin, other
430
New Life Church of Pentecostal Origin
439
New Life Evangelical Protestant of Pentecostal Origin, other
440
Evangelical Community Church
449
Evangelical Protestant Community of Pentecostal Origin, other
450
Other Evangelical Pentecostal Churches
460
Pentecostal Biblical Revival Church
469
Evangelical Protestant Biblical Revival of Pentecostal Origin, other
470
Evangelical Chain of Prayer Church
479
Evangelical Protestant Chain of Prayer of Pentecostal Origin, other
480
Church of the Nazarene
489
Evangelical Protestant Church of the Nazarene of Pentecostal Origin, other
490
Undetermined Evangelical
491
Evangelical Without Institutional Ties
492
Multiple Declaration of Evangelical Protestant Religion
499
Others Evangelical Protestant
510
Church of Jesus Christ of the Latter Day Saints
519
Church of Jesus Christ of the Latter Day Saints, other
520
Jehovah's Witnesses
529
Evangelical Protestant Jehovah's Witness, other
530
Legion of Good Will/Religion of God
590
Spiritualist [ESPIRITUALISTA]
599
Siritualist [Espiritualista], other
610
Spiritualist, Kardecist
619
Spiritualist [Espirita], other
620
Umbanda
629
Umbanda, other
630
Candomblé
639
Candomble, other
640
Afro-Brazilian Religiosities
641
Multiple Declaration of Afro Religiosity with Other Religiosities
649
Other declarations of Afro-Brazilian Religiosity, other
710
Judaism
719
Judaism, other
740
Hinduism
741
Yoga
749
Hinduism, other
750
Buddhism
751
Nitiren
752
Theravada Buddhism
753
Zen Buddhism
754
Tibetan Buddhism
755
Soka Gakkai
759
Buddhism, other
760
Messianic Worldwide Church
761
Seicho No-Ie
762
Perfect Liberty
763
Hare Krishna
764
Oshoo Disciples
765
Tenrykyo
766
Mahicari
790
Oriental Religions
791
Bahai
792
Shintoism
793
Taoism
799
Other oriental Religions, other
810
Islamism
819
Islamism, other
820
Esoteric
821
Christian Rationalism
829
Esoteric traditions, other
830
Indigenous Brazilian Traditions
831
Santo Daime
832
União do Vegetal
833
A Barquinha
834
Neoshamanic
839
Brazilian Indigenous Traditions, other
850
Christian Religiosity without Institutional Ties
890
Undetermined/Poorly Defined Religiosity
891
Multiple Declaration of Catholic Religiosity/Other Religiosities
892
Multiple Declaration of Evangelical Protestant Religiosity/Other Religiosities
893
Multiple Declaration of Catholic/Spiritualist [Espírita] Religiosity
894
Multiple Declaration of Catholic/Umbanda Religiosity
895
Multiple Declaration of Catholic/Candomblé Religiosity
896
Multiple Declaration of Catholic/Kardecist Religiosity
990
Unknown
Ethnicity and Language Variables -- PERSON
Flag for religion
Flag for religion
All persons
0
0
This variable indicates data quality edit flag for religion.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Permanent mental problem
All persons
0
0
This variable indicates whether the person has a permanent mental handicap that limits his daily activities.
1
Yes
2
No
9
Unknown
Disability Variables -- PERSON
Flag for permanent mental problem
Flag for permanent mental problem
All persons
0
0
This variable indicates data quality flag for permanent mental problem.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Ability to see
All persons
0
0
This variable indicates whether a person has a problem with his/her ability to see.
1
Incapable
2
Significant permanent difficulty
3
Some permanent difficulty
4
No difficulty
9
Unknown
Disability Variables -- PERSON
Flag for ability to see
Flag for ability to see
All persons
0
0
This variable indicates data quality flag for ability to see.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Ability to hear
All persons
0
0
This variable indicates whether a person has a problem with his/her ability to hear.
1
Incapable
2
Significant permanent difficulty
3
Some permanent difficulty
4
No difficulty
9
Unknown
Disability Variables -- PERSON
Flag for ability to hear
Flag for ability to hear
All persons
0
0
This variable indicates data quality flag for ability to hear.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Ability to walk/climb stairs
All persons
0
0
This variable indicates whether a person has a problem with his/her ability to walk or to climb stairs.
1
Incapable
2
Significant permanent difficulty
3
Some permanent difficulty
4
No difficulty
9
Unknown
Disability Variables -- PERSON
Flag for ability to walk/climb stairs
Flag for ability to walk/climb stairs
All persons
0
0
This variable indicates data quality flag for ability to walk/climb stairs.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Paralysis or loss of limb
All persons
0
0
This variable indicates whether the person has any type of disability.
1
Permanent total paralysis
2
Permanent paralysis of the legs
3
Permanent paralysis of one side of the body
4
Missing a leg, arm, hand, foot or thumb
5
None of the above
9
Unknown
Disability Variables -- PERSON
Flag for paralysis or loss of limb
Flag for paralysis or loss of limb
All persons
0
0
This variable indicates data quality flag for disability.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Always lived in this municipality
All persons
0
0
This variable indicates whether the person has always lived in the current municipality.
1
Yes
2
No
Nativity and Birthplace Variables -- PERSON
Flag for always lived in this municipality
Flag for always lived in this municipality
All persons
0
0
This variable indicates data quality flag for always lived in this municipality.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Duration of residence in this municipality
Persons who have lived in a municipality different from the current one
0
0
This variable indicates the duration (in years) of residence in the current municipality if the person has ever lived in a different one. If a person had gone somewhere else and then returned, the duration since last return should be recorded.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
97
97
98
98
99
Undocumented
999
NIU (not in universe)
Migration Variables -- PERSON
Flag for duration of residence in this municipality
Flag for duration of residence in this municipality
All persons
0
0
This variable indicates data quality flag for duration of residence in this municipality.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Was born in this municipality
Persons who have lived in a municipality different from the current one
0
0
This variable indicates whether the person was born in the municipality where he/she is currently living.
0
NIU (not in universe)
1
Yes
2
No
Nativity and Birthplace Variables -- PERSON
Flag for born in this municipality
Flag for born in this municipality
All persons
0
0
This variable indicates data quality flag for born in this municipality.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Born in this state
Persons who have lived in a municipality different from the current one
0
0
This variable indicates whether a person was born in the state he/she is currently living.
0
NIU (not in universe)
1
Yes
2
No
Nativity and Birthplace Variables -- PERSON
Flag for born in this state
Flag for born in this state
All persons
0
0
This variable indicates data quality flag for born in this state.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Nationality
All persons
0
0
This variable indicates nationality.
1
Native-born Brazilian
2
Naturalized Brazilian
3
Foreigner
4
Born in the municipality or state
Nativity and Birthplace Variables -- PERSON
Flag for nationality
Flag for nationality
All persons
0
0
This variable indicates data quality flag for nationality.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Year in which began residing in Brazil
Foreigners and naturalized Brazilians
0
0
This variable indicates the year in which the person began residing in Brazil for those who are naturalized Brazilian or a foreigner.
0
NIU (not in universe)
1895
1895
1902
1902
1905
1905
1906
1906
1907
1907
1908
1908
1909
1909
1910
1910
1911
1911
1912
1912
1913
1913
1914
1914
1915
1915
1916
1916
1917
1917
1918
1918
1919
1919
1920
1920
1921
1921
1922
1922
1923
1923
1924
1924
1925
1925
1926
1926
1927
1927
1928
1928
1929
1929
1930
1930
1931
1931
1932
1932
1933
1933
1934
1934
1935
1935
1936
1936
1937
1937
1938
1938
1939
1939
1940
1940
1941
1941
1942
1942
1943
1943
1944
1944
1945
1945
1946
1946
1947
1947
1948
1948
1949
1949
1950
1950
1951
1951
1952
1952
1953
1953
1954
1954
1955
1955
1956
1956
1957
1957
1958
1958
1959
1959
1960
1960
1961
1961
1962
1962
1963
1963
1964
1964
1965
1965
1966
1966
1967
1967
1968
1968
1969
1969
1970
1970
1971
1971
1972
1972
1973
1973
1974
1974
1975
1975
1976
1976
1977
1977
1978
1978
1979
1979
1980
1980
1981
1981
1982
1982
1983
1983
1984
1984
1985
1985
1986
1986
1987
1987
1988
1988
1989
1989
1990
1990
1991
1991
1992
1992
1993
1993
1994
1994
1995
1995
1996
1996
1997
1997
1998
1998
1999
1999
2000
2000
Nativity and Birthplace Variables -- PERSON
Flag for year in which began residing in Brazil
Flag for year in which began residing in Brazil
All persons
0
0
This variable indicates data quality flag for year in which began residing in Brazil.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
State or country of birth
Persons who were born in a different state or municipality
0
0
This variable indicates the Brazilian state or country of birth.
0
NIU (not in universe)
1
Rondonia
2
Acre
3
Amazonas
4
Roraima
5
Para
6
Amapa
7
Tocantins
8
Maranhao
9
Piaui
10
Ceara
11
Rio Grande do Norte
12
Paraiba
13
Pernambuco
14
Alagoas
15
Sergipe
16
Bahia
17
Minas Gerais
18
Espirito Santo
19
Rio de Janeiro
20
Sao Paulo
21
Parana
22
Santa Catarina
23
Rio Grande do Sul
24
Mato Grosso do Sul
25
Mato Grosso
26
Goias
27
Distrito Federal
29
Brazil, not specified
30
Argentina
31
Bolivia
32
Canada
33
Chile
34
Colombia
35
Costa Rica
36
Cuba
37
Ecuador
38
United States
39
Guatemala
40
Guiana Inglesa
41
Guiana Francesa
42
Haiti
43
Honduras
44
Belize
45
Jamaica
46
Mexico
47
Nicaragua
48
Panama
49
Paraguay
50
Peru
51
Republica Dominicana
52
El Salvador
53
Suriname
54
Uruguay
55
Venezuela
56
Other countries of the Americas
58
Germany
59
Austria
60
Belgium
61
Bulgaria
62
Denmark
63
Spain
64
Finland
65
France
66
Great Britain
67
Greece
68
Holland
69
Hungary
70
Ireland
71
Italy
72
Yugoslavia
73
Norway
74
Poland
75
Portugal
76
Romania
77
Sweden
78
Switzerland
79
Checkoslovakia
80
U.S.S.R.
81
Other countries of Europe
82
Angola
83
Egypt
84
Mozambique
85
Other countries of Africa
86
China Continental
87
China Formosa
88
Korea
89
India
90
Israel
91
Japan
92
Lebanon
93
Pakistan
94
Syria
95
Turkey
96
Other countries of Asia
97
Australia
98
Other countries of Oceania
99
Unknown
Nativity and Birthplace Variables -- PERSON
Flag for state or country of birth
Flag for state or country of birth
All persons
0
0
This variable indicates data quality flag for Brazilian state or country of birth.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Duration of residence in the state
Persons who have lived in a municipality different from the current one
0
0
This variable indicates the duration of residence in current state if the person has ever lived in a different state.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
999
NIU (not in universe)
Migration Variables -- PERSON
Flag for duration of residence in the state
Flag for duration of residence in the state
All persons
0
0
This variable indicates data quality flag for duration of residence in the state.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
State or country of previous residence
Persons who changed municipality and state in the past 9 years
0
0
This variable indicates the Brazilian state or foreign country of previous residence of persons who have lived in a different state and municipality in the past 9 years.
1
Rondonia
2
Acre
3
Amazonas
4
Roraima
5
Para
6
Amapa
7
Tocantins
8
Maranhao
9
Piaui
10
Ceara
11
Rio Grande do Norte
12
Paraiba
13
Pernambuco
14
Alagoas
15
Sergipe
16
Bahia
17
Minas Gerais
18
Espirito Santo
19
Rio de Janeiro
20
Sao Paulo
21
Parana
22
Santa Catarina
23
Rio Grande do Sul
24
Mato Grosso do Sul
25
Mato Grosso
26
Goias
27
Distrito Federal
29
Brazil, not specified
30
Argentina
31
Bolivia
32
Canada
33
Chile
34
Colombia
35
Costa Rica
36
Cuba
37
Equador
38
United States
39
Guatemala
40
Guiana Inglesa
41
Guiana Francesa
42
Haiti
43
Honduras
44
Belize
45
Jamaica
46
Mexico
47
Nicaragua
48
Panama
49
Paraguay
50
Peru
51
Republica Dominicana
52
El Salvador
53
Suriname
54
Uruguay
55
Venezuela
56
Other countries of the Americas
58
Germany
59
Austria
60
Belgium
61
Bulgaria
62
Denmark
63
Spain
64
Finland
65
France
66
Great Britain
67
Greece
68
Holland
69
Hungary
70
Ireland
71
Italy
72
Yugoslavia
73
Norway
74
Poland
75
Portugal
76
Romania
77
Sweden
78
Switzerland
79
Checkoslovakia
80
U.S.S.R.
81
Other countries of Europe
82
Angola
83
Egypt
84
Mozambique
85
Other countries of Africa
86
China Continental
87
China Formosa
88
Korea
89
India
90
Israel
91
Japan
92
Lebanon
93
Pakistan
94
Syria
95
Turkey
96
Other countries of Asia
97
Australia
98
Other countries of Oceania
99
Undocumented
998
Unknown
999
NIU (not in universe)
Migration Variables -- PERSON
Flag for state or country of previous residence
Flag for state or country of previous residence
All persons
0
0
This variable indicates data quality flag for state or country of previous residence.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Residence on 31 July 1995
Persons who have lived in a municipality different from the current one
0
0
This variable indicates residency on July 31,1995.
0
NIU (not in universe)
1
In this municipality, in urban zone
2
In this municipality, in rural zone
3
In another municipality, in urban zone
4
In another municipality, in rural zone
5
In another country
6
Was not born yet
Migration Variables -- PERSON
Flag for residence on 31 July 1995
Flag for residence on 31 July 1995
All persons
0
0
This variable indicates data quality flag for residence on 31 July 1995.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Flag for municipality of residence
Flag for municipality of residence
All persons
0
0
This variable indicates data quality flag for municipality of residence.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
State or country of residence on 31 July 1995
Persons who lived in another municipality or country on 31 July, 1995
0
0
This variable indicates the Brazilian state or foreign country of residence on 31 July 1995.
1
Rondonia
2
Acre
3
Amazonas
4
Roraima
5
Para
6
Amapa
7
Tocantins
8
Maranhao
9
Piaui
10
Ceara
11
Rio Grande do Norte
12
Paraiba
13
Pernambuco
14
Alagoas
15
Sergipe
16
Bahia
17
Minas Gerais
18
Espirito Santo
19
Rio de Janeiro
20
Sao Paulo
21
Parana
22
Santa Catarina
23
Rio Grande do Sul
24
Mato Grosso do Sul
25
Mato Grosso
26
Goias
27
Distrito Federal
29
Brazil, not specified
30
Argentina
31
Bolivia
32
Canada
33
Chile
34
Colombia
35
Costa Rica
36
Cuba
37
Equador
38
United States
39
Guatemala
40
Guiana Inglesa
41
Guiana Francesa
42
Haiti
43
Honduras
44
Belize
45
Jamaica
46
Mexico
47
Nicaragua
48
Panama
49
Paraguay
50
Peru
51
Republica Dominicana
52
El Salvador
53
Suriname
54
Uruguay
55
Venezuela
56
Other countries of the Americas
58
Germany
59
Austria
60
Belgium
61
Bulgaria
62
Denmark
63
Spain
64
Finland
65
France
66
Great Britain
67
Greece
68
Holland
69
Hungary
70
Ireland
71
Italy
72
Yugoslavia
73
Norway
74
Poland
75
Portugal
76
Romania
77
Sweden
78
Switzerland
79
Checkoslovakia
80
U.S.S.R.
81
Other countries of Europe
82
Angola
83
Egypt
84
Mozambique
85
Other countries of Africa
86
China Continental
87
China Formosa
88
Korea
89
India
90
Israel
91
Japan
92
Lebanon
93
Pakistan
94
Syria
95
Turkey
96
Other countries of Asia
97
Australia
98
Other countries of Oceania
998
Unknown
999
NIU (not in universe)
Migration Variables -- PERSON
Flag for state or country of residence on 31 July 1995
Flag for state or country of residence on 31 July 1995
All persons
0
0
This variable indicates data quality flag for Brazilian state or foreign country of residence on 31 July 1995.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Flag for municipality or state where work or study
Flag for municipality or state where work or study
All persons
0
0
This variable indicates data quality flag for Brazilian municipality or state where work or study.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Know how to read and write
All persons
0
0
This variable indicates whether a person knows how to read and write.
1
Yes
2
No
Education Variables -- PERSON
Flag for know how to read and write
Flag for know how to read and write
All persons
0
0
This variable indicates data quality flag for knows how to read and write.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Attend school or daycare
All persons
0
0
This variable indicates whether a person currently attends school (private or public) or child care.
1
Yes, private sector
2
Yes, public sector
3
No, but attended
4
Never attended
Education Variables -- PERSON
Flag for attend school or daycare
Flag for attend school or daycare
All persons
0
0
This variable indicates data quality flag for attend school or creche (daycare).
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Course being taken
Persons attending school or child care
0
0
This variable indicates the course that the person is currently attending.
0
NIU (not in universe)
1
Day-care center
2
Pre-school
3
Literacy class
4
Adult literacy
5
Elementary education or 1st level - regular graded
6
Elementary education or 1st level - regular non-graded
7
General education (elementary or 1st level)
8
General education or 2nd level - regular graded
9
Secondary education or 2nd level - regular non-graded
10
General education (secondary education or 2nd level)
11
Pre-college entrance exam
12
Higher - under-graduate
13
Higher - master's or doctor's degree
Education Variables -- PERSON
Flag for course being taken
Flag for course being taken
All persons
0
0
This variable indicates data quality flag for course being taken.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
School year now attending
Persons attending school or child care
0
0
This variable indicates the schooling level (school year) that the person is currently attending.
0
NIU (not in universe)
1
First
2
Second
3
Third
4
Fourth
5
Fifth
6
Sixth
7
Seventh
8
Eighth
9
Non-graded course
Education Variables -- PERSON
Flag for school year now attending
Flag for school year now attending
All persons
0
0
This variable indicates data quality flag for the school year the person is now attending.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Highest course attended, having concluded at least one year
Persons not currently attending school, but had in the past
0
0
This variable indicates the highest course attended, having concluded at least one year.
0
NIU (not in universe)
1
Adult literacy
2
Former primary
3
Former ginásio (junior high school)
4
Former classical, scientific, etc. (senior high school)
5
Elementary education or 1st level
6
Secondary education or 2nd level
7
Higher - under-graduate
8
Master's or doctor's degree
9
None
Education Variables -- PERSON
Flag for highest course attended
Flag for highest course attended
All persons
0
0
This variable indicates data quality flag for highest course attended, having concluded at least one year.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Last year of school passed
Persons not currently attending school, but had in the past
0
0
This variable indicates the last grade passed.
0
NIU (not in universe)
1
First
2
Second
3
Third
4
Fourth
5
Fifth
6
Sixth
7
Seventh
8
Eighth
9
Non-graded course
10
None
Education Variables -- PERSON
Flag for last year of school passed
Flag for last year of school passed
All persons
0
0
This variable indicates data quality flag for last educational year concluded with approval (passed).
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Concluded course studied
Persons not currently attending school, but had in the past
0
0
This variable indicates whether the person concluded the course he was taking.
0
NIU (not in universe)
1
Yes
2
No
Education Variables -- PERSON
Flag for concluded course studied
Flag for concluded course studied
All persons
0
0
This variable indicates data quality flag for whether the person concluded course in which he/she studied.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Flag for highest course concluded
Flag for highest course concluded
All persons
0
0
This variable indicates data quality flag for code for highest course concluded.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Years of education
All persons
0
0
This variable indicates total years of education.
0
No education or less than 1 year
1
1 year
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years or more
20
Not able to determine
30
Adult literacy course
Education Variables -- PERSON
Live with spouse or partner
Persons age 10+
0
0
This variable indicates whether the person has ever lived with a spouse or partner.
0
NIU (not in universe)
1
Yes
2
No, but have lived
3
Never lived
Demographic Variables -- PERSON
Flag for live with spouse or partner
Flag for live with spouse or partner
All persons
0
0
This variable indicates data quality flag for live with spouse or partner.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Type of last union
Persons age 10+
0
0
This variable indicates the type of union as civil, religious or consensual.
0
NIU (not in universe)
1
Civil and religious marriage
2
Civil marriage only
3
Religious marriage only
4
Consensual union
5
Never lived with partner
Demographic Variables -- PERSON
Flag for type of last union
Flag for type of last union
All persons
0
0
This variable indicates data quality flag for type of last union.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Marital status
Persons age 10+
0
0
This variable indicates marital status.
0
NIU (not in universe)
1
Married
2
Left (desquitado(a)) or legally separated
3
Divorced
4
Widowed
5
Single
Demographic Variables -- PERSON
Flag for marital status
Flag for marital status
All persons
0
0
This variable indicates data quality flag for marital status.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Had remunerated work last week
Persons age 10+
0
0
This variable indicates whether a person worked in any remunerated activity during the week of July 23-29, 2000.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for had remunerated work last week
Flag for had remunerated work last week
All persons
0
0
This variable indicates data quality flag for during the week of July 23-29, 2000, had remunerated work.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Had work but was off last week
Persons who did not have paid work last week
0
0
This variable indicates whether the person has a job, but did not worked during the week July 23-29, 2000.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for had work but was off last week
Flag for had work but was off last week
All persons
0
0
This variable indicates data quality flag for in the week, had work but was off.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Unpaid non-farm household or apprentice work last week
Persons who did not have paid work last week
0
0
This variable indicates whether during the week of July 23-29, 2000 the person helped, without remuneration, in the work of a member of the household who was self-employed or an employer, or as an apprentice or intern.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for unpaid non-farm household or apprentice work last week
Flag for unpaid non-farm household or apprentice work last week
All persons
0
0
This variable indicates data quality flag for during the week of July 23-29, 2000 the person helped, without remuneration, in the work of a member of the household who is self-employed or an employer, or as a apprentice or intern?
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Unpaid farm labor last week
Persons who last week did not have paid work and did not work as an apprentice or perform unpaid agricultural labor
0
0
This variable indicates whether during the week of July 23-29, 2000 the person helped, without remuneration, in the work of a member of the household employed in the activity of cultivation, plant extraction, raising of animals, hunting, fishing or mining.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for unpaid farm labor last week
Flag for unpaid farm labor last week
All persons
0
0
This variable indicates data quality flag for whether during the week of July 23-29, 2000 the person helped, without remuneration, in the work of a member of the household employed in the activity of cultivation, plant extraction, raising of animals, hunting, fishing or mining.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Grew crops to feed household last week
Persons who last week did not have paid work and did not work as an apprentice or perform unpaid agricultural labor
0
0
This variable indicates whether during the week of July 23-29, 2000 the person worked in the activity of cultivation, plant extraction, raising of animals or fish as to feed members of the household.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for grew crops to feed household last week
Flag for grew crops to feed household last week
All persons
0
0
This variable indicates data quality flag for if crops were grown to feed dwellers in the household in the past week.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Number of jobs last week
Persons age 10+ who worked last week
0
0
This variable indicates the total number of jobs that a person had during the week of July 23-29,2000.
0
NIU (not in universe)
1
One
2
Two or more
Work Variables -- PERSON
Flag for number of jobs last week
Flag for number of jobs last week
All persons
0
0
This variable indicates data quality flag for number of jobs had during July 23-29, 2000.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Occupation, 1 digit
Persons age 10+ who worked last week
0
0
This variable indicates occupation, 1 digit.
0
Members of the armed forces, policemen and military fire fighters + Unknown
1
Upper members of public authority, officers in organizations of public interest, and in companies, managers
2
Professionals in the arts and sciences
3
Medium level [high school] technicians
4
Workers in administrative services
5
Workers in services, sales personnel in commerce, stores and markets
6
Workers on farms and in forestry, hunting and fishing
7
Workers in the production of industrial goods and services
8
Workers in the production of industrial goods and services
9
Repair and maintenance workers
99
NIU (not in universe)
Work: Occupation Variables -- PERSON
Occupation, 2 digits
Persons age 10+ who worked last week
0
0
This variable indicates occupation, 2 digits.
0
NIU (not in universe)
1
Air force military personnel
2
Army military personnel
3
Navy military personnel
4
Military policemen and policewomen
5
Military fire fighters
11
Upper members and officers of public authority
12
Officers in companies and organizations (except of public interest)
13
Managers
20
Polyscientific professionals
21
Professionals in the exact and physical sciences and engineering
22
Professionals in the biological sciences, health and similar areas
23
Professionals in education (college-trained)
24
Professionals in legal sciences
25
Professionals in the social and human sciences
26
Communicators, actors, actresses and religious
30
Multiskilled technicians
31
High-school level technicians in the physical and chemical sciences, engineering, and the like
32
High-school-level technicians in biological-biochemical sciences, health and the like
33
Lay and high-school level teachers
34
High-school-level technicians in transportation services
35
High-school-level technicians in administrative sciences
37
High-school-level technicians in cultural, communications and sports services
39
Other high-school-level technicians
41
Clerks
42
Workers in public services
51
Workers in services
52
Sales persons and service providers in commerce
61
Producers in farming and cattle operations
62
Workers in farming operations
63
Fishermen, hunters and forest extractors
64
Workers in farm and forest mechanization
71
Workers in the extractive industry and civil construction
72
Workers in the transformation of metals and composites
73
Workers in electrical/electronic manufacturing and installation
74
Assemblers of precision and musical equipment and instruments
75
Jewelers, glass blowers, ceramic artists and the like
76
Workers in companies of textiles, tanning, garments and printing arts
77
Workers in wood and furniture companies
78
Workers in transverse functions
81
Workers in companies of continuous processing and other industrial companies
82
Workers in production installations of steel and construction materials
83
Workers in installations and machinery for manufacturing pulp, paper, cardboard and their products
84
Workers in food, beverage and tobacco manufacturing
86
Operators in installations for energy production and distribution, utilities, and water catchment, treatment and distribution
87
Other elementary industrial workers
91
Workers in mechanical repairs and maintenance
95
Multiskilled maintenance personnel
98
Other workers in conservation, maintenance and repair
99
Unknown
Work: Occupation Variables -- PERSON
Occupation, 3 digits
Persons age 10+ who worked last week
0
0
This variable indicates occupation, 3 digits.
0
NIU (not in universe)
10
Air force military personnel
20
Army military personnel
30
Navy military personnel
40
Military police officers
41
Military police praças
50
Officials in the military fire department
51
Praças in the military fire department
111
Upper members of the legislative, executive and judicial branches
112
Managers of production, operations and support of public administration
113
Heads of small populations
114
Officers and administrators in organizations of public interest
121
General directors
122
Directors of production and operations (dpo)
123
Directors of support areas
131
Managers of production and operations
132
Managers of support areas
201
Professionals in bioengineering, biotechnology and genetic engineering
202
Professionals in electromechanics
211
Mathematicians, statisticians and the like
212
Data-processing professionals
213
Physicists, chemists and the like
214
Engineers, architects and the like
215
Professionals in aerial, maritime and river navigation
221
Biologists and the like
222
Agronomists and the like
223
Professionals in medicine, health and the likes
231
Teachers in children's and elementary education (college-trained)
232
Teachers in secondary education
233
Teachers and instructors of professional education
234
Teachers in higher education
239
Other teachers in education not classified above
241
Self-employed and employed lawyers
242
Lawyers in the judiciary branch and public security
251
Social scientists, psychologists and the like
252
Professionals in administration
253
Professionals in marketing, publicity and sales
261
Professionals in communication
262
Professionals in the performing arts
263
Members of religious and similar groups
300
Electromechanical and
301
Laboratory technicians
311
Technicians in physical and chemical sciences
312
Civil construction technicians - buildings and infrastructure works
313
Electronics and photonics technicians
314
Metal and mechanical work technicians
316
Technicians in mineralogy and geology
317
Data-processing technicians
318
Technical draftsman and modelers
319
Other high-school-level technicians in the physical and chemical sciences, engineering, and the like
320
Biology technicians
321
Technicians in agricultural and cattle production
322
Technicians in human health sciences
323
Technicians in animal health sciences
324
Technicians in the operation of diagnostic equipment
325
Technicians in biochemistry and biotechnology
328
Technicians in conservation, dissection and stuffing of bodies
331
High-school teachers in children's education, elementary education, vocational training and free schools
332
Lay teachers in elementary education, vocational training and free schools
333
Instructors and teachers in free schools
334
Student inspectors and similar professions
341
Technicians in aerial, maritime, river and railway/subway navigation
342
Technicians in transportation (logistics)
351
Technicians in administrative sciences
352
Technicians in administrative inspection and coordination
353
High-school-level technicians in financial operations
354
High-school-level technicians in commercial operations
371
Cultural services technicians
372
Technicians in the operation of photographic cameras, cinema and data transmission
373
Technicians in the operation of radio and television stations
374
Technicians in the operation of sound, theatrical and projection equipment
375
Decorators and shop-window arrangers
376
Performers in folk arts and models
377
Athletes and the like
391
High-school-level technicians in industrial operations
410
Supervisors of administrative services (except in public service)
411
Clerks in general, agents, assistants and administrative assistants
412
Secretaries in offices and office machinery operators
413
Finance and accounting clerks
414
Clerks in material, dispatching and transportation control
415
Assistants in library, documentation and post office services
420
Supervisors in public services
421
Cashiers, ticket sellers and the like
422
Workers in information to the public
423
Document agents
424
Interviewers and the like
510
Supervisors of services and commerce
511
Workers in transportation and tourism services
512
Workers in domestic services in general
513
Workers in hotel and food services
514
Workers in services of administration, maintenance and conservation of buildings and thoroughfares
515
Workers in health services
516
Workers in beauty and personal hygiene services
517
Workers in protection and security services
519
Other workers in various services
520
Supervisors of sales and services in commerce
521
Sales persons and demonstrators
522
Shelf replacers and price taggers in commerce
523
Installers of products and accessories
524
Street peddlers and vendors in booths and stands
611
Producers in farming and cattle operations in general
612
Farm producers
613
Producers in cattle raising
620
Supervisors in farming operations
621
Workers in farming and cattle operations in general
622
Farm workers
623
Cattle raising workers
630
Supervisors in forest extraction, hunting and fishing
631
Fishermen, hunters
632
Forest extractors
641
Workers in farm and cattle mechanization
642
Workers in forest mechanization
643
Workers in irrigation and draining
710
Supervisors in mineral extraction and civil construction
711
Workers in mineral extraction
712
Workers in the processing of mineral ores and stones
715
Workers in civil construction and public works
716
Workers in the finishing of civil works
717
Hod carriers
720
Supervisors in the transformation of metals and composites
721
Workers in tooling of metals and composites
722
Workers in the forming of metals and composites
723
Workers in thermal treatment and treatment of metal and composite surfaces
724
Workers in the assembly of pipes, and metal and composite structures
725
Assemblers of machines and mechanical equipment
730
Supervisors in assembling and electrical/electronic installations
731
Assemblers and installers of electrical/electronic equipment in general
732
Installers and repairmen of electric and communication lines and cables
740
Supervisors in the mechanics of musical and precision instruments
741
Assemblers and fitters of precision instruments
742
Assemblers and fitters of musical instruments
750
Supervisors of jewelry, glass blowing, ceramics and the like
751
Jewelers and goldsmiths
752
Glass workers, ceramists and the like
760
Supervisors in companies of textiles, tanning, garments and printing arts
761
Workers in textile companies
762
Workers in the treatment of leather and skins
763
Workers in garment manufacturing
764
Workers in footwear manufacturing
765
Workers in the manufacturing of cloth and leather objects
766
Workers in printing production
768
Craftsmen in textile and garment manufacturing and the graphic arts
770
Supervisors in companies of wood, furniture and carpentry for vehicles
771
Cabinet makers and the like
772
Workers in wood and furniture preparation
773
Workers in wood transformation and furniture manufacturing
774
Assembly workers
775
Workers in wood and furniture finishing
776
Craftsmen in wood and furniture
777
Workers in vehicle carpentry
780
Packaging and labeling supervisors
781
Industrial robot operators
782
Conductors of vehicles and operators of cargo raising and moving equipment
783
Workers in logistics and monitoring of transportation service
784
Production packagers and suppliers
810
Supervisors in chemical and petrochemical companies and the like
811
Operators of chemical and petrochemical installations and the like
812
Workers in the manufacturing of ammunition and chemical explosives
813
Operators in other chemical and petrochemical installations and the like
818
Operators of unit laboratory operations (transverse for all processing industries)
820
Supervisors in production of steel and construction materials
821
Operators of installations and equipment in metal and alloy production - 1st fusion
822
Installation and equipment operators in metal and alloy production
823
Workers in construction material, ceramics and glass installations and equipment
828
Craftsmen of construction materials
830
Supervisors in the manufacturing of paper and pulp
831
Workers in the preparation of paste for paper
832
Workers in paper manufacturing
833
Makers of paper and cardboard products
840
Supervisors in agroindustrial food, beverage and tobacco manufacturing
841
Operators in food and beverage preparation
842
Operators in tobacco treatment and cigar and cigarette manufacturing (including hand-made)
848
Workers in the food industry
849
Workers in agribusiness and in food and beverage manufacturing (including non-industrial)
860
Supervisors in installations for energy production and distribution, utilities, and water catchment, treatment and distribution
861
Operators at installations for generating and distributing thermal, electric, and nuclear energy
862
Utility operators
871
Other elementary industrial workers
910
Supervisors in mechanical repairs and maintenance
911
Maintenance mechanics for industrial, commercial and for residential machinery and equipment
913
Maintenance mechanics for heavy machinery and farming equipment
914
Vehicle maintenance mechanics
915
Repairmen for precision instruments and equipment
919
Other maintenance mechanics
950
Supervisors of electrical/electronic and electrical/mechanical maintenance
951
Electronic electricians in industrial, commercial and residential maintenance
953
Electronic electricians in vehicle maintenance
954
Electronic mechanical maintenance personnel
991
Other workers in conservation and maintenance (except elementary workers)
992
Elementary workers in maintenance
999
Unknown
Work: Occupation Variables -- PERSON
Occupation, 4 digits
Persons age 10+ who worked last week
0
0
This variable indicates occupation, 4 digits.
0
NIU (not in universe)
100
Air force military personnel
200
Army military personnel
300
Navy military personnel
401
Military police colonels, lieutenant colonels and majors
402
Military police captains
403
Military police lieutenants
411
Military police praças
412
Military police sub-lieutenants and sergeants
413
Military police corporals and privates
501
Colonels, lieutenant colonels and majors in the military fire department
502
Fire department captains
503
Fire department lieutenants
511
Special fire department praças
512
Fire department sub-Lieutenants and sergeants
513
Fire department corporals and soldiers
1111
Legislators
1112
General officers in public administration
1113
Higher judges
1122
Managers of production and operations in public administration
1123
Managers of support areas in public administration
1130
Heads of small populations
1140
Officers and administrators in organizations of public interest
1210
General directors
1219
Officers of companies - employers with more than 5 employees
1220
Directors of production and operations areas (dpo)
1230
Directors of support areas
1310
Managers of production and operations
1320
Managers of support areas
2011
Professionals in bioengineering, biotechnology and genetic engineering
2012
Professionals in metrology
2021
Mechanical engineers (mechanics/electronics)
2111
Mathematics professionals
2112
Statistics professionals
2121
Computing specialists
2122
Computing engineers - software developers
2123
Data-processing specialists
2124
Systems analysts
2125
Data-processing programmers
2131
Physicists
2132
Chemists
2133
Space and atmosphere professionals
2134
Geologists and geophysicists
2140
Materials engineers
2141
Architects
2142
Civil engineers and the like
2143
Electrical/electronic engineers and the like
2144
Mechanical engineers
2145
Chemical engineers
2146
Metallurgical engineers
2147
Mining engineers
2148
Land-surveying and cartographic engineers
2149
Other engineers, architects and the like
2151
Deck officials
2152
Machinery officials
2153
Professionals in aerial navigation
2211
Biologists and the like
2221
Agronomists and the like
2231
Physicians
2232
Dental surgeons
2233
Veterinarians
2234
Pharmacists
2235
College-trained nurses and the like
2236
Physiotherapists and the like
2237
Nutritionists
2311
Teachers in children's education (college-trained)
2312
Teachers of disciplines in general education from 1st to 4th grades of elementary education (college-trained)
2313
Teachers of disciplines in general education from 5th to 8th grades of elementary education
2321
Teachers of disciplines in general education on secondary level
2330
Teachers and instructors of professional education
2340
Teachers in higher education
2391
Physical education teachers
2392
Teachers of students with physical and mental handicaps
2394
Programmers, evaluators and educational advisers
2410
Lawyers
2412
Attorneys in fact of companies and autonomous government agencies
2419
Other self-employed and employed lawyers
2421
Judges, including of courts of appeals
2422
Prosecuting attorneys, public defenders and the like
2423
Police delegates
2511
Professionals in anthropological and sociological research and analysis
2512
Professionals in economic research and analysis
2513
Professionals in historical and geographical research and analysis
2514
Philosophers and political scientists
2515
Psychologists and psychoanalysts
2516
Social workers and domestic economists
2521
Administrators
2522
Accountants and auditors
2523
Executive and bilingual secretaries
2524
Professionals in human resources
2525
Professionals in economic and financial administration
2531
Professionals in marketing, publicity and sales
2611
Professionals in journalism
2612
Professionals in information
2613
Philologists and musicologists
2614
Philologists, translators and interpreters
2615
Writers and editors
2616
Publishing specialists
2617
Announcers and commentators
2621
Producers of performances
2622
Choreographers and dancers
2623
Actors, actresses, directors of performances and the like
2624
Composers, musicians and singers
2625
Industrial designers, sculptors, painters and the like
2627
Interior decorators and set designers
2631
Ministers of religious groups, missionaries and the like
3001
Mechanical technicians (mechanics/electronics)
3003
Electronic and mechanical technicians
3011
Industrial laboratory technicians
3012
Bioengineering support technicians
3111
Chemical technicians
3112
Petrochemical technicians
3113
Technicians in ceramics and glass materials
3114
Technicians in plastic and rubber product manufacturing
3115
Technicians in environmental control, utilities and waste treatment
3116
Textile technicians
3117
Colorists
3121
Civil construction technicians - buildings
3122
Civil construction technicians - infrastructure works
3123
Technicians in land surveying and hydrography
3131
Electricity and electronics technicians
3132
Electronic technicians in machinery and equipment maintenance
3134
Electronics technicians
3135
Telecommunications and telephone technicians
3136
Adjustments and instrumentation technicians
3137
Photonics technicians
3141
Mechanical technicians in manufacture and assembly of machinery, system and instrument
3142
Mechanical technicians (tools)
3143
Technicians in vehicle mechanics
3144
Mechanical technicians in the maintenance of machinery, systems and instruments
3146
Metallurgical technicians (metal structures)
3147
Technicians in steel industry
3161
Technicians in geology, geotechnology and geophysics
3162
Technicians in geodesy and cartography
3163
Mining technicians
3171
Programming technicians
3172
Computer operations technicians
3189
Technical draftsman and modelers
3191
Garment technicians
3192
Furniture technicians and the like
3201
Biology technicians
3210
Technicians in agriculture and cattle raising
3211
Technicians in agriculture
3212
Technicians in cattle raising
3213
Forestry technicians
3214
Pisciculture technicians
3221
Technicians in physiotherapy and the like
3222
Technicians and nurses' aides
3223
Orthoptists and opticists
3224
Dental technicians
3225
Technicians in the manufacture of apparatuses for locomotion
3231
Technicians in veterinary medicine
3232
Zootechnical technicians
3241
Medical and dental equipment operators
3242
Technicians in laboratories of clinical analyses
3250
Sensorial testers
3251
Pharmaceutical technicians
3252
Technicians in food production and conservation
3253
Technicians in biotechnology support
3281
Embalmers and taxidermists
3311
High-school level teachers in children's education
3312
High-school level teachers in elementary education
3313
High-school level teachers in vocational training
3321
Lay teachers in elementary education
3322
Lay teachers in vocational training
3331
Instructors and teachers in free schools
3341
Student inspectors and similar professions
3411
Pilots in commercial aviation, navigators, flight mechanics and the like
3412
Maritime, fluvial and regional deck technicians
3413
Maritime, fluvial and regional machinery technicians
3421
Technicians in intermodal transportation
3422
Technicians in transportation (customs)
3423
Technicians in highway transportation
3424
Technicians in railway/subway transportation
3425
Technicians in air transportation
3426
Technicians in transportation on navigable waterways
3511
Accounting technicians
3512
Statistical technicians
3513
Administrative technicians
3514
Court clerks and the like
3515
Revenue and tax collection inspectors
3516
Labor safety technicians
3517
Insurance technicians and analysts and the like
3518
Police inspectors and detectives
3522
Health and environmental agents
3523
Weights and measurements inspection agents
3524
Inspection agents of performances and media
3525
Labor union and labor inspection agents
3531
Stock market, exchange and other financial service agents
3532
Technicians in banking operations and services
3541
Sales representatives and technicians
3542
Buyers
3543
Export and import technicians
3544
Auctioneers and appraisers
3545
Insurance brokers
3546
Real-estate brokers
3547
Bond and security brokers
3548
Tourism technicians
3711
Library science technicians
3712
Museology technicians
3713
Graphic arts technicians
3721
Film makers
3722
Photographers
3723
Technicians in the operation of data-transmission machinery
3731
Technicians in the operation of radio stations
3732
Technicians in the operation of television stations
3741
Technicians in the operation of sound equipment
3742
Technicians in the operation theatrical equipment
3743
Technicians in the operation of projection equipment
3751
High-school-level decorators and shop-window arrangers
3761
Dancers in folk dances
3762
Folk musicians and singers
3763
Clowns, acrobats and the like
3764
Presenters of performances
3765
Models
3771
Sports technicians
3772
Professional athletes
3773
Sports arbitrators, umpires, and similar professions
3911
Technicians in production planning
3912
Technicians in production control
4101
Supervisors of administrative services (except accounting and control)
4102
Supervisors of accounting, financial and control services
4110
Clerks in general, agents, assistants and administrative assistants
4121
Secretaries in offices and stenographers
4122
Office machinery operators
4123
Attendants
4131
Accounting clerks
4132
Finance clerks
4141
Stock clerks
4142
Production support clerks
4151
Clerks in library and documentation services
4152
Mailmen and the like
4201
Supervisors of workers of public services
4211
Cashiers and ticket sellers (except bank cashiers)
4212
Bank cashiers and exchange operators
4213
Betting and gambling collectors
4214
Bill collectors and the like
4221
Receptionists
4222
Telephone operators
4223
Telemarketing operators
4231
Document agents
4241
Interviewers, census takers and the like
5101
Supervisors of services in transportation, tourism, hotels and building administration
5102
Supervisors of health and personal-care services
5103
Supervisors of protection, security and other services
5111
Workers in direct passenger services
5112
Inspectors and drivers in public transportation
5114
Tourist guides
5121
Workers in domestic services in general
5131
Butlers and governesses
5132
Cooks
5133
Cleaning personnel and the like
5134
Waiters, barmen and busboys
5141
Workers in building administration
5142
Workers in services of maintenance and conservation of buildings and thoroughfares
5151
Nurses' aides, midwives and the like
5152
Laboratory assistants in the health area
5161
Workers in beauty and hygiene services
5162
Personnel in day-care centers and escorts of the elderly
5165
Workers in funeral services
5166
Auxiliary workers in funeral services
5167
Astrologists and psychic readers
5169
Dry cleaners, laundry personnel and the like, by machine and by hand
5171
Fire fighters
5172
Policemen and traffic guards
5173
Security and other guards
5174
Guards and watchmen
5191
Delivery persons (except for post office)
5192
Scrap collectors
5198
Sex professionals
5199
Other workers in services
5201
Supervisors of sales and services in commerce
5211
Sales persons and demonstrators in stores or markets
5221
Shelf replacers and price taggers in commerce
5231
Installers of products and accessories
5241
Door-to-door salespersons
5242
Vendors in booths and stands
5243
Street peddlers
6110
Producers in farming and cattle operations in general
6129
Farm producers
6139
Producers in cattle raising
6201
Supervisors in farming operations
6210
Workers in farming and cattle operations in general
6229
Farm workers
6239
Cattle raising workers
6301
Supervisors in forest extraction, hunting and fishing
6319
Fishermen and hunters
6329
Forest extractors
6410
Workers in farm and cattle a mechanization
6420
Workers in forest mechanization
6430
Workers in irrigation and draining
7101
Supervisors in mineral extraction
7102
Supervisors in civil construction
7111
Workers in the extraction the solid minerals - miners and the like
7112
Workers in the extraction of solid minerals - machine operators
7113
Workers in the extraction of liquid and gaseous minerals
7114
Gold prospectors and saline operators
7121
Workers in the processing of mineral ores
7122
Workers in the processing of stones
7151
Workers in earthwork and foundations
7152
Workers in masonry structures
7153
Workers in reinforced concrete structures
7154
Workers in the operation of reinforced concrete machinery
7155
Workers in the assembly of wooden, metal and composite structures (civil works and the like)
7156
Workers in electrical installations
7157
Workers in installations of insulation materials
7161
Reinforced concrete liners (rigid linings)
7162
Roofers (rigid linings)
7163
Glaziers (rigid linings)
7164
Plasterers
7165
Appliers of ceramic, tile, stone and wooden linings
7166
House and wall painters and interior liners (flexible linings)
7170
Hod carriers
7201
Supervisors in tooling, forming and treatment of metals
7202
Supervisors in metal and mechanical assembly
7211
Toolmakers and the like
7212
Machine preparers and operators - conventional tools
7213
Operators of conventional tooling (production line)
7214
Sharpeners and metal polishers
7215
Operators of machinery and tooling centers cnc
7221
Workers in metal forging
7222
Workers in foundries of metals and composites
7223
Workers in molding of metals and composites
7224
Workers of drawing, stretching and extrusion of metals and composites
7231
Workers in thermal treatment of metal and composite surfaces
7232
Workers in treatment of metals and composite surfaces (thermo chemical)
7233
Workers in painting of equipment, vehicles, metal structures and composites
7241
Plumbers and pipe installers
7242
Workers in tracing and assembly of metals and composite structures
7243
Workers in welding and cutting of metals and composites
7244
Workers in boiler works and metalwork shops
7245
Operators of metal forming machines
7246
Cable preparers and splicers (except electric and telecommunications cables)
7250
Multiskilled mechanical fitters
7251
Assemblers of mechanical equipment and accessories in assembly lines
7252
Assemblers of industrial machinery
7253
Assemblers of heavy machinery
7254
Assemblers of motors and turbines
7255
Automobile assemblers (assembly line)
7256
Assemblers of airplane systems and structures
7257
Assemblers of ventilation and cooling installations
7301
Supervisors in assembling and electrical/electronic installations
7311
Assemblers of electrical/electronic equipment
7312
Assemblers of telecommunications equipment
7313
Installers of telecommunications equipment
7321
Installers and repairmen of electric, telephone and data communications lines and cables
7401
Supervisors in the mechanics of musical and precision instruments
7411
Mechanics of precision instruments (except technicians)
7421
Makers of musical instruments
7501
Supervisors of jewelry and the like
7502
Supervisors of glass blowers, ceramics and the like
7519
Jewelers and artisans of precious and semi-precious metals
7521
Glass blowers and molders and the like
7522
Glass cutters, polishers, blasters, engravers and the like
7523
Ceramists (preparation and manufacturing)
7524
Glass and ceramic artists (finishing and decoration)
7601
Supervisors in textile companies
7602
Supervisors in tanneries
7603
Supervisors in the garment industry
7604
Supervisors in footwear manufacturing companies
7605
Supervisors in the manufacture of cloth and leather objects and the like
7606
Supervisors in the printing arts
7610
Multiskilled workers in textile companies
7611
Workers in the preparation of textiles
7612
Operators in the preparation of textiles
7613
Operators of looms and similar machinery
7614
Workers in finishing, dyeing and printing in textile companies
7618
Inspectors and examiners in textile production
7620
Multiskilled workers in the tanning of leather and skins
7621
Workers in the preparation of skins
7622
Workers in tanning of leather and skins
7623
Workers in the finishing of leather and skins
7630
Multiskilled workers in garment manufacturing companies
7631
Workers in preparing garment manufacturing
7632
Operators of garment sewing machinery
7633
Sewing machine operators - finishing of garments
7640
Multiskilled workers in footwear manufacturing
7641
Workers in preparing for footwear manufacturing
7642
Operators of footwear sewing machinery
7643
Operators of footwear finishing
7650
Multiskilled workers in the manufacturing of cloth and leather objects
7651
Workers in the preparation of cloth and leather objects
7652
Workers in the manufacturing and installation of cloth and leather objects
7653
Operators of machinery in the manufacturing of cloth and leather objects
7654
Workers in the finishing of cloth and leather objects
7660
Multiskilled workers in the printing arts
7661
Workers in pre-printing
7662
Workers in printing
7663
Workers in finished printing
7664
Workers in photographic laboratories
7681
Craftsmen in cloth weaving
7682
Craftsmen in the garment manufacturing
7683
Craftsmen in the manufacturing of footwear, objects of leather, and skins
7686
Typographic workers, linotypists and the like
7687
Book binders and restorers (in small batches or per unit)
7701
Supervisors in companies of wood, furniture and carpentry for vehicles
7711
Cabinet makers and the like
7721
Workers in wood and furniture preparation
7731
Operators of machinery for breaking down wood
7732
Operators of sheet metal rolling, agglomeration and pressing
7733
Preparers and operators in tooling of conventional wood
7734
Wood-working machinery operators (production line)
7735
Operators of machinery and wood tooling centers cnc
7741
Assemblers of furniture and wooden objects
7751
Workers in wood and furniture finishing
7764
Makers of wooden objects, wicker furniture and the like
7771
Naval and airplane carpenters
7772
Carpenters of car and truck bodies
7801
Packaging and labeling supervisors
7811
Operators of robots and special equipment
7813
Operators of remotely operated and controlled vehicles (rov, rcv)
7817
Underwater workers
7820
Multiskilled drivers and operators
7821
Operators of raising equipment
7822
Operators of cargo moving equipment
7823
Wheeled vehicle drivers (private transportation)
7824
Wheeled vehicle drivers (public transportation)
7825
Wheeled vehicle drivers (merchandise distribution)
7826
Drivers of vehicles on rails
7827
Workers in maritime, river and regional navigation
7828
Drivers of vehicles of animal and pedaled traction
7831
Workers in maneuvers of transportation on rails
7832
Workers in merchandise loading and unloading
7841
Workers in packaging and labeling
7842
Production line suppliers
8101
Supervisors in chemical and petrochemical companies and the like
8102
Supervisors in plastic and rubber companies
8103
Supervisors in companies of pharmaceutical and cosmetic products and the like
8110
Multiskilled operators of chemical and petrochemical installations and the like
8111
Operators of grinding and mixing of materials (chemical treatment and the like)
8112
Operators of thermochemical processing and the like
8113
Filtering and separation operators
8114
Distillation and reaction operators
8115
Oil and gas production and refining operators
8116
Coking operators
8117
Operators of installations and machinery of plastic, rubber and paraffin products
8118
Operators of machinery and installations of pharmaceutical and cosmetic products and the like
8121
Workers in the manufacturing of ammunition and chemical explosives
8131
Operators in other chemical and petrochemical installations and the like
8181
Industrial laboratory assistants
8201
Supervisors in steel production
8202
Supervisors in construction materials (glass, ceramics and composites)
8211
Operators in sintering installations
8212
Operators of 1st fusion ovens and steelworks
8213
Lamination operators
8214
Sheet and metal finishing operators
8221
metalworks furnacemen (2nd fusion and reheating
8231
Operators in the preparation of paste for glass, ceramics, porcelain and construction materials
8232
Operators in installations and equipment for manufacturing ceramics, glass and porcelain
8233
Operators of installations and equipment for manufacturing construction materials
8281
Craftsmen of construction materials
8301
Supervisors in the manufacturing of paper and pulp
8311
Preparers of paste for paper manufacturing
8321
Operators of machinery for manufacturing paper and cardboard
8339
Makers of paper and cardboard products
8401
Supervisors in food, beverage and tobacco manufacturing
8411
Millers
8412
Workers in salt refining
8413
Workers in sugar manufacturing and refining
8416
Workers in the preparation of coffee, cocoa beans and similar products
8417
Workers in the manufacturing of cane liquor, beer, red wines and other beverages
8421
Tobacco preparers
8423
Workers in cigarette factories
8429
Cigar makers and craftsmen in the tobacco industry
8484
Tasters
8485
Butchers and the like
8491
Workers in food manufacturing and conservation (including non-industrial)
8492
Workers in milk pasteurization, dairy product manufacturing and the like (including non-industrial)
8493
Bakers, confectioners and the like and operators in bread, dough and candy manufacturing
8601
Supervisors in installations for energy production and distribution, utilities, and water catchment, treatment and distribution
8611
Operators at installations for generating thermal, electric, and nuclear energy
8612
Operators at installations for distributing thermal, electric, and nuclear energy
8621
Steam and boiler machinery operators
8622
Operators at water catchment, treatment and distribution installations
8623
Operators at sewage collection and treatment installations
8624
Operators at gas collecting, bottling and distributing installations
8625
Operators at cooling and air-conditioning installations
8711
Other elementary industrial workers
9101
Supervisors in the repairs and maintenance of industrial, commercial and residential machinery and equipment
9102
Supervisors in repairs and maintenance
9109
Supervisors of other workers in repairs, conservation and maintenance
9111
Maintenance mechanics for pumps, motors, compressors and transmission equipment
9112
Maintenance mechanics for thermal equipment, and climate control and cooling equipment (except technicians)
9113
Industrial maintenance mechanics
9131
Maintenance mechanics for heavy machinery and farming equipment
9141
Aeronautic maintenance mechanics
9142
Naval maintenance mechanics (on land)
9143
Subway and railway maintenance mechanics
9144
Motor vehicle maintenance mechanics
9151
Repairmen for measuring instruments
9152
Repairmen for musical instruments
9153
Repairmen for medical and hospital equipment and instruments
9154
Repairmen for photographic equipment
9191
Lubricators
9192
Workers in maintenance of small machinery
9193
Maintenance mechanics for bicycles, and sports and gymnastics equipment
9501
Supervisors in industrial, commercial and residential electrical/electronic maintenance
9502
Supervisors in electrical/electronic maintenance for vehicles
9503
Supervisors in electro-mechanical maintenance
9511
Electronic electricians in industrial maintenance
9513
Installers and maintenance personnel for security and fire alarm systems
9531
Electronic electricians in vehicle maintenance (aerial, land and naval)
9541
Maintenance personnel for elevators, stairways and automatic doors
9542
Appliance repairmen
9543
Office equipment repairmen
9911
Repairmen of permanent tracks
9912
Maintenance personnel for leisure equipment
9913
Maintenance personnel for vehicle bodies
9914
Maintenance personnel for buildings
9921
Elementary workers in maintenance services
9922
Elementary workers in the maintenance of permanent thoroughfares
9999
Unknown
Work: Occupation Variables -- PERSON
Flag for occupation
Flag for occupation
All persons
0
0
This variable indicates data quality flag for new occupation code.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Industry, 2 digits
Persons age 10+ who worked last week
0
0
This variable indicates the type of industry, 2 digits.
0
Poorly specified activities
1
Agriculture, cattle raising and related services
2
Lumber industry, forest exploitation and related services
5
Fishing, aquiculture and activities in services related to these activities
10
Coal mining
11
Extraction of oil and natural gas and related services
12
Undocumented
13
Extraction of metallic minerals
14
Extraction of non-metallic minerals
15
Manufacturing of beverages and food products
16
Manufacturing of tobacco products
17
Manufacturing of textile products
18
Making of clothing articles and accessories
19
Preparation of leather and the manufacturing of leather objects, travel articles and footwear
20
Manufacturing of wooden products
21
Manufacturing of pulp, paper and paper products
22
Editing, printing and reproduction of recordings
23
Coke manufacturing, oil refining, nuclear fuel production and alcohol production
24
Manufacturing of chemical products
25
Manufacturing of rubber and plastic articles
26
Manufacturing of products of non-metallic minerals
27
Basic metallurgy
28
Manufacturing of metal products - except machinery and equipment
29
Manufacturing of machines and equipment
30
Manufacturing of office machines and data-processing equipment
31
Manufacturing of machines, equipment and electrical material
32
Manufacturing of electronic material and communications equipment
33
Manufacturing of medical instrumentation equipment, precision and optical instruments, equipment for industrial automation, chronometers, Clocks and Watches
34
Manufacturing and assembly of motor vehicles, trailers and car bodies
35
Manufacturing of other transportation equipment
36
Manufacturing of furniture and miscellaneous industries
37
Recycling
40
Electricity, gas and hot water
41
Water catchment, treatment and distribution
45
Construction
50
Commerce and repair of motor vehicles and motorcycles; and retail commerce of fuels
53
Retail and wholesale commerce and repair of personal and domestic objects
55
Lodgings and food
60
Land transportation
61
Water transportation
62
Air transportation
63
Activities related and/or auxiliary to transportation and travel agencies
64
Post offices and telecommunications
65
Financial intermediation, except for insurance and private social security
66
Insurance and private social security
67
Auxiliary activities for financial intermediation
70
Real-estate activities
71
Rental of vehicles, machines and equipment without drivers or operators, and of personal and domestic objects
72
Data-processing and related activities
73
Research and development in the social and human sciences
74
Services rendered, especially to companies
75
Public administration, defense and social security
80
Education
85
Health and social services
90
Urban cleaning and sewage and related activities
91
Associative activities
92
Recreational, cultural and athletic activities
93
Personal services
95
Domestic services
98
International organizations and other extra-territorial institutions
99
NIU (not in universe)
Work: Industry Variables -- PERSON
Industry, 5 digits
Persons age 10+ who worked last week
0
0
This variable indicates the type of industry, 5 digits.
0
NIU (not in universe)
1101
Cultivation of rice
1102
Cultivation of corn
1103
Cultivation of other cereals for grains
1104
Cultivation of herbaceous cotton
1105
Cultivation of sugar cane
1106
Cultivation of tobacco
1107
Cultivation of soybeans
1108
Cultivation of manioc root
1109
Cultivation of other temporary agricultural farm products
1110
Cultivation of salad greens, vegetables and other such plant products
1111
Cultivation of flowers, ornamental plants and greenhouse products
1112
Cultivation of citric fruits
1113
Cultivation of coffee
1114
Cultivation of cocoa beans
1115
Cultivation of grapes
1116
Cultivation of bananas
1117
Cultivation of other permanent farming products
1118
Poorly specified farm crops
1201
Cattle raising
1202
Raising of other large animals
1203
Sheep raising
1204
Swine raising
1205
Poultry raising
1206
Bee raising
1207
Silk production
1208
Raising of other animals
1209
Raising of poorly specified animals
1300
Mixed production: agriculture and cattle raising
1401
Activities in services related to agriculture
1402
Activities in services related to cattle raising - except veterinary activities
1500
Hunting, animal resettlement and related services
2001
Lumber industry and forest exploitation
2002
Activities in services related to the lumber industry and forest exploitation
5001
Fishing and related services
5002
Aquiculture and related services
10000
Coal mining
11000
Extraction of oil and natural gas and related services
12000
Extraction of radioactive minerals
13001
Extraction of ores of precious metals
13002
Extraction of metallic minerals - except precious and radioactive metals
14001
Extraction of stones and other construction materials
14002
Extraction of precious and semi-precious stones
14003
Extraction of other non-metallic minerals
14004
Extraction of poorly specified minerals
15010
Slaughtering and preparation of meat and fish
15021
Production of preserves of fruit, vegetables and other vegetable products
15022
Production of vegetable fat and oil
15030
Manufacturing of dairy products
15041
Manufacturing and refining of sugar
15042
Roasting and grinding of coffee
15043
Manufacturing of other food products
15050
Manufacturing of beverages
16000
Manufacturing of tobacco products
17001
Processing of fibers, weaving and cloth making
17002
Manufacturing of textile objects based on cloth - except for garments
18001
Making of clothing articles and accessories - except on order
18002
Making clothing articles and accessories - on order
18999
Making of clothing articles and accessories - on order or not
19011
Tanning and other preparations of leather
19012
Manufacturing of leather objects
19020
Manufacturing of footwear
20000
Manufacturing of wooden products
21001
Manufacturing of pulp, paper and smooth cardboard, poster paper and card paper
21002
Manufacturing of corrugated cardboard and of packaging, and of paper and cardboard objects
22000
Editing, printing and reproduction of recordings
23010
Coke plants
23020
Manufacturing of products in oil refining
23030
Production of nuclear fuels
23400
Alcohol production
24010
Manufacturing of paints, dyes, varnish, enamels and lacquers
24020
Manufacturing of pharmaceutical products
24030
Manufacturing of soap, detergents, cleaning products and toiletries
24090
Manufacturing of miscellaneous chemical products
25010
Manufacturing of rubber products
25020
Manufacturing of plastic products
26010
Manufacturing of glass and glass products
26091
Manufacturing of ceramic products
26092
Manufacturing of miscellaneous products of non-metallic minerals
27001
Manufacturing of steel products
27002
Metallurgy of non-ferrous metals
27003
Foundries
28001
Manufacturing of metal products - except machines and equipment
28002
Foundries, stamping shops, powder metallurgy and metal treatment services
29001
Manufacturing of machines and equipment - except appliances
29002
Manufacturing of appliances
30000
Manufacturing of office machines and data-processing equipment
31001
Manufacturing of machines, equipment and miscellaneous electric material - except for vehicles
31002
Manufacturing of electrical material for vehicles
32000
Manufacturing of electronic material and communications equipment
33001
Manufacturing of medical equipment
33002
Manufacturing of measuring, testing and control equipment - except for controlling industrial processes
33003
Manufacturing of machines, equipment for electronic systems for industrial automation, and production process control
33004
Manufacturing of equipment, instruments and optical, photographic and cinematographic material
33005
Manufacturing of chronometers, clocks and watches
34001
Manufacturing and assembly of motor vehicles
34002
Manufacturing of cabins, car bodies, trailers and parts for motor vehicles
34003
Reconditioning or restoration of engines of motor vehicles
35010
Construction and repair of boats
35020
Construction and assembly of locomotives, cars and other rolling stock
35030
Construction, assembly and repair of airplanes
35090
Manufacturing of miscellaneous transportation equipment
36010
Manufacturing of pieces of furniture
36090
Manufacturing of miscellaneous products
37000
Recycling
40010
Production and distribution of electric energy
40020
Production and distribution of piped gas
41000
Water catchment, treatment and distribution
45001
Preparation of the land
45002
Construction of buildings and civil engineering works
45003
Installation works
45004
Finishing works
45005
Rental of construction and demolition equipment with workers
45999
Construction operations - undefined specialty
50010
Commerce of motor vehicles
50020
Repair and maintenance services for motor vehicles
50030
Commerce of parts and accessories for motor vehicles
50040
Commerce, maintenance and repair of motorcycles
50050
Service stations
53010
Sales representatives and agents in commerce
53020
Commerce of farm products
53030
Commerce of products of food, beverages and tobacco
53041
Commerce of textile thread, cloth, cloth artifacts and notions
53042
Commerce of articles of clothing, supplements and footwear
53050
Commerce of wood, construction material, hardware and tools
53061
Commerce of appliances, furniture and other home articles
53062
Commerce of books, newspapers, magazines and stationery
53063
Commerce of pharmaceutical, medical, orthopedic, dental and cosmetic products, and toiletries
53064
Commerce of machines and equipment - except home appliances
53065
Commerce of fuel - except at service stations
53066
Commerce of scrap and junk
53067
Commerce of extractive products of mineral origin
53068
Commerce of merchandise in general - including used merchandise
53070
Supermarkets and hypermarkets
53080
Department stores and other non-specialized commerce, without predominance of food products
53090
Retail commerce of articles in general by catalog, television, Internet and other media
53101
Retail commerce carried out at movable points installed on public streets or in markets
53102
Other types of retail commerce not carried out in stores
53111
Repair and maintenance of appliances
53112
Repair of footwear
53113
Repair of personal and domestic objects - except of appliances and footwear
53999
Unspecified commercial activities
55010
Lodgings
55020
Food peddlers
55030
Other food services - except peddlers
55999
Unspecified activities in lodgings and/or food
60010
Railroad transportation
60020
Subway transportation
60031
Highway cargo transportation - except moving
60032
Highway transportation for moving
60040
Highway passenger transportation
60091
Transportation in streetcars, cable cars, cableways or trains specific for visiting tourist sites
60092
Canal transportation
60999
Land transportation - unspecified type
61000
Water transportation
62000
Air transportation
63010
Loading and unloading, storing and warehouses
63021
Auxiliary activities in transportation
63022
Organization of cargo transportation
63030
Travel agencies and travel organizers
64010
Post office activities
64020
Telecommunications
65000
Financial intermediation
66000
Insurance and private social security
67010
Auxiliary activities for financial intermediation
67020
Auxiliary activities for insurance and private social security
70001
Real-estate activities - except for condos
70002
Condo buildings
71010
Rental of vehicles
71020
Rental of machines and equipment
71030
Rental of personal and domestic objects
72010
Data-processing activities
72020
Maintenance and repair of office machines and data-processing equipment
73000
Research and development
74011
Legal and accounting activities and market and opinion surveys
74012
Consultancy activities in business management
74021
Architecture and engineering services and specialized technical consultancy
74022
Tests on materials and products, and quality analysis
74030
Advertising
74040
Selection, processing and outsourcing of personnel
74050
Investigation, security and safety
74060
Activities in immunization, disinfecting and cleaning in buildings and homes
74090
Other services rendered to companies
75011
Administration of the state and of economic and social policy - Federal
75012
Administration of the state and of economic and social policy - State
75013
Administration of the state and of economic and social policy - Municipal
75014
Armed forces
75015
Other collective services rendered by public administration - Federal
75016
Other collective services rendered by public administration - State
75017
Other collective services rendered by public administration - Municipal
75020
Social security
75999
Public administration, unspecified sphere of administration
80011
Regular, general and special public education
80012
Regular, general and special private education
80090
Other educational activities
80999
Unspecified educational activities
85011
Public health
85012
Private health
85013
Other activities in health
85020
Veterinary services
85030
Social services
85999
Unspecified activities in health
90000
Urban cleaning and sewage and related activities
91010
Activities of labor unions
91020
Activities of business, employers', and professional organizations
91091
Activities of religious and philosophical organizations
91092
Other associative activities
92011
Production of movies and videotapes
92012
Distribution and projection of movies and videos
92013
Radio activities
92014
Television activities
92015
Other artistic activities and performances
92020
Activities of news agencies
92030
Libraries, archives, museums and other cultural activities
92040
Athletic activities and others related to leisure
93010
Laundries and dry cleaners
93020
Hairdressers and other beauty treatments
93030
Funeral activities
93091
Activities in physical fitness
93092
Other activities of personal services
95000
Domestic services
99000
International organizations and other extra-territorial institutions
99999
Unknown
Work: Industry Variables -- PERSON
Flag for industry
Flag for industry
All persons
0
0
This variable indicates data quality flag for industry code.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Class of worker
Persons age 10+ who worked last week
0
0
This variable indicates class of work.
0
NIU (not in universe)
1
Domestic worker with legal contract
2
Domestic worker without legal contract
3
Employee with legal contract
4
Employee without legal contract
5
Employer
6
Self-employed
7
Non-remunerated apprentice or trainee
8
Non-remunerated, helping member of the household
9
Worker in production for own consumption
Work Variables -- PERSON
Flag for class of worker
Flag for class of worker
All persons
0
0
This variable indicates data quality flag for class of work.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Government employee or military personnel
Persons age 10+ who were employed without legal contract
0
0
This variable indicates whether the person was employed as a public servant of the justice department or the military.
0
NIU (not in universe)
1
Yes
2
No
Work Variables -- PERSON
Flag for government employee or military personnel
Flag for government employee or military personnel
All persons
0
0
This variable indicates data quality flag for employed by RJFP or as military personnel.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
How many employees worked in this company
Persons age 10+ who worked as an employer last week
0
0
This variable indicates the number of employees that a person who worked as employer during the week of July 23-29, 2000 hired (or employed).
0
NIU (not in universe)
1
One
2
Two
3
Three to five
4
Six to ten
5
Eleven and more
Work Variables -- PERSON
Flag for how many employees worked in this company
Flag for how many employees worked in this company
All persons
0
0
This variable indicates data quality flag for how many employees worked in this company.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Contributor to the official social security
Persons age 10+ who were employers, self-employed, or employed with a worker's card
0
0
This variable indicates whether domestic workers without worker's card, employees without signed workers' cards who were not employed by the justice or defense departments, employers and self-employed workers made social security contributions.
0
NIU (not in universe)
1
Yes
2
No
Income Variables -- PERSON
Flag for contributor to the official social security
Flag for contributor to the official social security
All persons
0
0
This variable indicates data quality edit flag for if the person was a contributor to the official social security.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Income in principal job
Persons age 10+ who worked without pay
0
0
This variable indicates whether a person does not receive any income from his principal job.
0
Doesn't have
1
Only in benefits
9
NIU (not in universe)
Income Variables -- PERSON
Flag for income in principal job
Flag for income in principal job
All persons
0
0
This variable indicates data quality flag for a person that doesn't have an income in the principal job.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Gross monthly income in principal job
Persons age 10+ who worked last week and received income
0
0
This variable indicates the gross income in principal job.
Income Variables -- PERSON
Flag for gross income in principal job
Flag for gross income in principal job
All persons
0
0
This variable indicates data quality flag for gross income in principal job.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total monthly income in principal job
Total monthly income in principal job
Persons age 10+ who worked last week
0
0
This variable indicates the total income in principal job.
Income Variables -- PERSON
Total income in principal job, in minimum salaries
Total income in principal job, in minimum salaries
Persons age 10+ who worked last week
0
0
This variable indicates the total income in principal job, in terms of minimum salaries.
Income Variables -- PERSON
Income in additional jobs
Persons age 10+ who worked last week
0
0
0
Doesn't have
1
Only in benefits
8
Unknown
9
NIU (not in universe)
Income Variables -- PERSON
Flag for income in additional jobs
Flag for income in additional jobs
All persons
0
0
This variable indicates data quality edit flag for a person who doesn't have income in additional jobs.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Gross monthly income in additional jobs
Persons age 10+ who had 2 or more jobs
0
0
This variable indicates gross income in additional jobs for the month of July 1990.
Income Variables -- PERSON
Flag for gross income in additional jobs
Flag for gross income in additional jobs
All persons
0
0
This variable indicates data quality flag for gross income in additional jobs.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total monthly income in additional jobs
Total monthly income in additional jobs
Persons age 10+ who worked last week
0
0
This variable indicates total monthly income in additional jobs.
Income Variables -- PERSON
Total monthly income in additional jobs, in minimum salaries
Total monthly income in additional jobs, in minimum salaries
Persons age 10+ who worked last week
0
0
This variable indicates total monthly income in additional jobs, in terms of minimum salaries.
Income Variables -- PERSON
Total monthly income in all jobs
Persons age 10+ who worked last week
0
0
This variable indicates total monthly income in all jobs.
Income Variables -- PERSON
Total income in all jobs, in minimum salaries
Total income in all jobs, in minimum salaries
Persons age 10+ who worked last week
0
0
This variable indicates total income in all jobs, in minimum salaries.
Income Variables -- PERSON
Hours worked per week in principal job
Persons age 10+ who worked last week
0
0
This variable indicates the number of hours worked per week at the person's principal job.
0
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
Work Variables -- PERSON
Flag for hours worked per week in principal job
Flag for hours worked per week in principal job
All persons
0
0
This variable indicates data quality flag for hours worked per week in principal job.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Hours worked in additional jobs
Persons age 10+ who worked last week
0
0
This variable indicates the number of hours worked per week in additional jobs.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
99
NIU (not in universe)
Work Variables -- PERSON
Flag for hours worked in additional jobs
Flag for hours worked in additional jobs
All persons
0
0
This variable indicates data quality flag for hours worked in additional jobs.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total hours worked
Persons age 10+ who worked last week
0
0
This variable indicates total hours worked per week.
0
NIU (not in universe)
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
100
100
101
101
102
102
103
103
104
104
105
105
106
106
107
107
108
108
109
109
110
110
111
111
112
112
113
113
114
114
115
115
116
116
117
117
118
118
119
119
120
120
121
121
122
122
123
123
124
124
125
125
126
126
127
127
128
128
129
129
130
130
131
131
132
132
133
133
134
134
135
135
136
136
137
137
138
138
139
139
140
140
Work Variables -- PERSON
Efforts to find work
Persons age 10+ who did not have a paid job
0
0
This variable indicates whether a person made any kind of effort to find a job.
0
NIU (not in universe)
1
Yes
2
No
9
Unknown
Work Variables -- PERSON
Flag for efforts to find work
Flag for efforts to find work
All persons
0
0
This variable indicates data quality edit flag for efforts to find work.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Retired with government social security in July 2000
Persons aged 10+
0
0
This variable indicates whether a worker was retired according to the Social Security Institute by July, 2000.
1
Yes
2
No
9
Under age 10
Other Person Variables -- PERSON
Flag for retired with government social security in July 2000
Flag for retired with government social security in July 2000
All persons
0
0
This variable indicates data quality flag to identify if in July, 2000, the person was retired with government social security.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Earnings from retirement/pension
Persons age 10+
0
0
This variable indicates earnings from retirement or pensions.
Income Variables -- PERSON
Flag for earnings from retirement/pension
Flag for earnings from retirement/pension
All persons
0
0
This variable indicates data quality flag for earnings from retirement or pensions.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Income from rents
Persons age 10+
0
0
This variable indicates income from rents.
Income Variables -- PERSON
Flag for income from rents
Flag for income from rents
All persons
0
0
This variable indicates data quality flag for income from rents.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Earnings from alimony, allowance, donation
Persons age 10+
0
0
This variable indicates earnings from alimony, allowance, donation.
Income Variables -- PERSON
Flag for earnings from alimony, allowance, donation
Flag for earnings from alimony, allowance, donation
All persons
0
0
This variable indicates data quality flag for earnings from alimony, allowance, donation.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Income from Federal minimum income program, school allowance, and unemployment insurance
Persons age 10+
0
0
This variable indicates income from a federal minimum income program, school allowance, unemployment insurance.
Income Variables -- PERSON
Flag for income from federal minimum income program, school allowance, and unemployment insurance
Flag for income from federal minimum income program, school allowance, and unemployment insurance
All persons
0
0
This variable indicates data quality flag for income from a federal minimum income program, school allowance, unemployment insurance.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Other income
Persons age 10+
0
0
This variable indicates other income besides those mentioned earlier.
Income Variables -- PERSON
Flag for other income
Flag for other income
All persons
0
0
This variable indicates data quality flag for other income.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total income
Persons age 10+
0
0
This variable indicates the total income for the month of July 1990.
Income Variables -- PERSON
Total income, in minimum salaries
Total income, in minimum salaries
Persons age 10+
0
0
This variable indicates the total income, in terms of minimum salaries.
Income Variables -- PERSON
Total number of children born alive
Females age 10+
0
0
This variable indicates the total number of children born alive by July 31, 2000.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Flag for total number of children born alive
Flag for total number of children born alive
All persons
0
0
This variable indicates data quality edit flag for total number children born alive.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total number of children still alive
Females age 10+ who have ever given birth
0
0
This variable indicates the total number of children still alive on July 31, 2000.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
28
28
29
29
30
30
31
31
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Age of last born child alive
Females age 10+ who have ever given birth
0
0
This variable indicates the date of birth (or presumed age) of the last child born alive by July 31, 2000.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97
98
98
99
99
999
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Flag for age of last born child alive
Flag for age of last born child alive
All persons
0
0
This variable indicates data quality edit flag for calculated age of the last child born alive.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total number of children born dead
Females age 10+
0
0
This variable indicates the total number of children born dead.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Flag for total number of children born dead
Flag for total number of children born dead
All persons
0
0
This variable indicates data quality flag for total number of children born dead.
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Total number of children the woman ever had
Females age 10+
0
0
This variable indicates the total number of children ever born alive to the person.
0
0
1
1
2
2
3
3
4
4
5
5
6
6
7
7
8
8
9
9
10
10
11
11
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
99
NIU (not in universe)
Fertility and Mortality Variables -- PERSON
Flag for total number of children the woman ever had
Flag for total number of children the woman ever had
All persons
0
0
1
Yes
2
No
Person Imputation Flags Variables -- PERSON
Person weight
Person weight
All persons
0
0
This variable indicates person weight.
This is a 11-digit numeric variable with 8 implied decimal places
Technical Person Variables -- PERSON
Occupation, ISCO-1988, 3-digit
0
0
ISCO88A provides the 3-digit occupation code for the respondent using the ISCO-1988 occupation classification.
10
Armed forces
111
Legislators
112
Senior government officials
113
Traditional chiefs and heads of villages
114
Senior officials of special-interest organizations
121
Directors and chief executives
122
Production and operations department managers
123
Other department managers
131
General managers
199
Legislators, senior officials and managers not elsewhere classified
211
Physicists, chemists and related professionals
212
Mathematicians, statisticians and related professionals
213
Computing professionals
214
Architects, engineers and related professionals
221
Life science professionals
222
Health professionals (except nursing)
223
Nursing and midwifery professionals
231
College, university and higher education teaching professionals
232
Secondary education teaching professionals
233
Primary and pre-primary education teaching professionals
234
Special education teaching professionals
235
Other teaching professionals
241
Business professionals
242
Legal professionals
243
Archivists, librarians and related information professionals
244
Social science and related professionals
245
Writers and creative or performing artists
246
Religious professionals
299
Professionals no elsewhere classified
311
Physical and engineering science technicians
312
Computer associate professionals
313
Optical and electronic equipment operators
314
Ship and aircraft controllers and technicians
315
Safety and quality inspectors
321
Life science technicians and related associate professionals
322
Modern health associate professionals (except nursing)
323
Nursing and midwifery associate professionals
324
Traditional medicine practitioners and faith healers
331
Primary education teaching associate professionals
332
Pre-primary education teaching associate professionals
333
Special education teaching associate professionals
334
Other teaching associate professionals
341
Finance and sales associate professionals
342
Business services agents and trade brokers
343
Administrative associate professionals
344
Customs, tax and related government associate professionals
345
Police inspectors and detectives
346
Social work associate professionals
347
Artistic, entertainment and sports associate professionals
348
Religious associate professionals
399
Technicians and assoicate professionals not elsewhere classified
411
Secretaries and keyboard-operating clerks
412
Numerical clerks
413
Material-recording and transport clerks
414
Library, mail and related clerks
419
Other office clerks
421
Cashiers, tellers and related clerks
422
Client information clerks
499
Clerks not elsewhere classified
511
Travel attendants and related workers
512
Housekeeping and restaurant services workers
513
Personal care and related workers
514
Other personal services workers
515
Astrologers, fortune-tellers and related workers
516
Protective services workers
521
Fashion and other models
522
Shop salespersons and demonstrators
523
Stall and market salespersons
599
Service workers and shop and market sales workers not elsewhere classified
611
Market gardeners and crop growers
612
Market-oriented animal producers and related workers
613
Market-oriented crop and animal producers
614
Forestry and related workers
615
Fishery workers, hunters and trappers
621
Subsistence agricultural and fishery workers
699
Skilled agricultural and fishery workers not elsewhere classified
711
Miners, shotfirers, stone cutters and carvers
712
Building frame and related trades workers
713
Building finishers and related trades workers
714
Painters, building structure cleaners and related trades workers
721
Metal moulders, welders, sheet-metal workers, structural- metal preparers, and related trades workers
722
Blacksmiths, tool-makers and related trades workers
723
Machinery mechanics and fitters
724
Electrical and electronic equipment mechanics and fitters
731
Precision workers in metal and related materials
732
Potters, glass-makers and related trades workers
733
Handicraft workers in wood, textile, leather and related materials
734
Printing and related trades workers
741
Food processing and related trades workers
742
Wood treaters, cabinet-makers and related trades workers
743
Textile, garment and related trades workers
744
Pelt, leather and shoemaking trades workers
799
Craft and related trade workers not elsewhere classified
811
Mining- and mineral-processing-plant operators
812
Metal-processing-plant operators
813
Glass, ceramics and related plant operators
814
Wood-processing- and papermaking-plant operators
815
Chemical-processing-plant operators
816
Power-production and related plant operators
817
Automated-assembly-line and industrial-robot operators
821
Metal- and mineral-products machine operators
822
Chemical-products machine operators
823
Rubber- and plastic-products machine operators
824
Wood-products machine operators
825
Printing-, binding- and paper-products machine operators
826
Textile-, fur- and leather-products machine operators
827
Food and related products machine operators
828
Assemblers
829
Other machine operators and assemblers
831
Locomotive-engine drivers and related workers
832
Motor-vehicle drivers
833
Agricultural and other mobile-plant operators
834
Ships' deck crews and related workers
899
Other
911
Street vendors and related workers
912
Shoe cleaning and other street services elementary occupations
913
Domestic and related helpers, cleaners and launderers
914
Building caretakers, window and related cleaners
915
Messengers, porters, doorkeepers and related workers
916
Garbage collectors and related labourers
921
Agricultural, fishery and related labourers
931
Mining and construction labourers
932
Manufacturing labourers
933
Transport labourers and freight handlers
989
Elementary occupations not elsewhere classified
990
Other workers, not elsewhere classified
998
Unknown
999
NIU (not in universe)
Work Variables -- PERSON
Person weight
0
0
PERWT is an 8-digit numeric variable with 2 implied decimal places. See the variable description.
Technical Person Variables -- PERSON
Disability status
0
0
DISABLED indicates whether the person reported a disability of any kind.
0
NIU (not in universe)
1
Yes, disabled
2
No, not disabled
9
Unknown
Disability Variables -- PERSON
Years residing in current locality
0
0
MIGYRS1 indicates how many years the person has resided in their current locality of residence.
0
Less than 1 year
1
1 year (or 1 year or less)
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years
19
19 years
20
20 years
21
21 years
22
22 years
23
23 years
24
24 years
25
25 years
26
26 years
27
27 years
28
28 years
29
29 years
30
30 years
31
31 years
32
32 years
33
33 years
34
34 years
35
35 years
36
36 years
37
37 years
38
38 years
39
39 years
40
40 years
41
41 years
42
42 years
43
43 years
44
44 years
45
45 years
46
46 years
47
47 years
48
48 years
49
49 years
50
50 years
51
51 years
52
52 years
53
53 years
54
54 years
55
55 years
56
56 years
57
57 years
58
58 years
59
59 years
60
60 years
61
61 years
62
62 years
63
63 years
64
64 years
65
65 years
66
66 years
67
67 years
68
68 years
69
69 years
70
70 years
71
71 years
72
72 years
73
73 years
74
74 years
75
75 years
76
76 years
77
77 years
78
78 years
79
79 years
80
80 years
81
81 years
82
82 years
83
83 years
84
84 years
85
85 years
86
86 years
87
87 years
88
88 years
89
89 years
90
90 years
91
91 years
92
92 years
93
93 years
94
94 years
95
95+
96
Less than 5 years
97
More than 5 years
98
Unknown
99
NIU (not in universe)
Migration Variables -- PERSON
Years of schooling
0
0
0
None or pre-school
1
1 year
2
2 years
3
3 years
4
4 years
5
5 years
6
6 years
7
7 years
8
8 years
9
9 years
10
10 years
11
11 years
12
12 years
13
13 years
14
14 years
15
15 years
16
16 years
17
17 years
18
18 years or more
90
Not specified
91
Some primary
92
Some technical after primary
93
Some secondary
94
Some tertiary
95
Adult literacy
96
Special education
97
Response suppressed
98
Unknown/missing
99
NIU (not in universe)
Education Variables -- PERSON
Migration status, 5 years
0
0
0
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
99
Unknown/missing
Migration Variables -- PERSON
Migration status, previous residence
0
0
MIGRATEP indicates whether the person's most recent move (if any) was between minor administrative units, major units, or countries.
0
NIU (not in universe)
10
Same major administrative unit
11
Same major, same minor administrative unit
12
Same major, different minor administrative unit
20
Different major administrative unit
30
Abroad
98
Response suppressed
99
Not reported/missing
Migration Variables -- PERSON
Educational attainment, international recode [general version]
0
0
0
NIU (not in universe)
1
Less than primary completed
2
Primary completed
3
Secondary completed
4
University completed
9
Unknown
Education Variables -- PERSON
Educational attainment, international recode [detailed version]
0
0
0
NIU (not in universe)
100
Less than primary completed (n.s.)
110
No schooling
120
Some primary completed
130
Primary (4 yrs) completed
211
Primary (5 yrs) completed
212
Primary (6 yrs) completed
221
Lower secondary general completed
222
Lower secondary technical completed
311
Secondary, general track completed
312
Some college completed
320
Secondary or post-secondary technical completed
321
Secondary, technical track completed
322
Post-secondary technical education
400
University completed
999
Unknown/missing
Education Variables -- PERSON
Religion [general version]
0
0
RELIGION indicates the person's religion, including "none."
0
NIU (not in universe)
1
No religion
2
Buddhist
3
Hindu
4
Jewish
5
Muslim
6
Christian
7
Other
9
Unknown
Ethnicity and Language Variables -- PERSON
Religion [detailed version]
0
0
RELIGION indicates the person's religion, including "none."
0
NIU (not in universe)
1000
No religion
1001
Atheist
1002
Without religion
2000
Buddhist
3000
Hindu
4000
Jewish
5000
Muslim
5001
Khadrya
5002
Layenne
5003
Mouride
5004
Tidjane
5005
Ahmadis
5006
Sunni
5007
Shiek
5008
Other Muslim
6000
Christian
6001
Catholic (Roman or unspecified)
6002
Orthodox
6003
Protestant
6004
Evangelical protestant
6005
Pentacostal
6006
Adventist / Seventh-day adventist
6007
Anglican
6008
Assembly of God
6009
Baptist
6010
Church of the Nazarene
6011
Congregational
6012
Dutch Reformed
6013
Episcopalian
6014
Jehovah's Witnesses
6015
Latter Day Saints (Mormon)
6016
Lutheran
6017
Mennonite
6018
Methodist
6019
New Apostolic
6020
Presbyterian
6021
Zion Christian
6100
Other Christian, Austria
6101
Old Catholic
6102
Protestant, Augsburg confession
6103
Protestant, Westminster confession
6104
Protestant, Helvetic confession
6105
Greek Oriental
6106
Armenian Apostolic
6107
Other Protestant
6108
Christian Community for renewal
6109
Christian Community, not specified
6110
Other Christian, Brazil
6111
Christian Congregation of Brazil
6112
Brazilian Catholic Apostolic
6113
Brazil for Christ
6114
Foursquare Gospel
6115
Universal of the Kingdom of God
6116
House of the Blessing
6117
House of Prayer
6118
God is Love
6119
Maranata
6120
Other Christian, Brazil 1991
6121
Undetermined Protestant
6124
Other traditional Protestant
6125
Neo-Christian
6126
Other Neo-Christian
6127
Undetermined Christian
6128
Other Christian, Brazil 2000
6129
Other Catholic
6130
Renewed Evangelical Protestant without institutional ties
6131
Pentecostal Evangelical without institutional ties
6132
New Life Evangelical Protestant Pentecostal
6133
Evangelical Protestant Biblical Revival Pentecostal
6134
Chain Of Prayer Pentecostal
6135
Undetermined Evangelical Protestant
6136
Religion Of God
6137
Christian without institutional ties
6138
Other Christian, Canada
6139
Other Catholic
6140
United Church
6141
Protestant, not specified
6142
Other Protestant
6143
Other Christian, Germany
6144
Oriental Christian
6145
Other Christian, Ghana
6146
Other Christian, Iran
6147
Assyrian or Chaldean
6148
Armenian
6149
Other Christians
6150
Other Christian, Indonesia
6151
Other Christian
6152
Protestant/Other Christian
6153
Other Christian, Ireland
6154
Quaker
6155
Other Christian, Jamaica
6156
Brethren
6157
Church of God
6158
Church of God of Prophecy
6159
Other Church of God
6160
Moravian
6161
United Church
6162
Salvation Army
6163
New Testament
6164
Disciples of Christ
6165
Other Christian, Mexico
6166
Anabaptist
6167
Calvinist
6168
Cuaquera
6169
Disciples of Christ
6170
Christian Friendship Church
6171
Prayer House Church
6172
Faith Center
6173
Agape Force Church
6174
Alpha and Omega Church
6175
Living Water Church
6176
Apostolic Church
6177
Church of God
6178
Church of God of Prophecy
6179
Complete Gospel Church
6180
Evangelical Siblings Church
6181
Upper Room Church
6182
Pentacostal Indigenous Church
6183
Angular Stone Voice Church
6184
Pentacostal Missionary
6185
Christian
6186
Christian Societies
6187
Evangelical
6188
Evangelical Societies
6189
New Testament Evangelical
6190
Pentecostal
6191
Pentecostal Societies
6192
Independent Pentecostal
6193
Evangelical Christian Societies
6194
Pentecostal Christian Societies
6195
Evangelical Pentecostal Societies
6196
Evangelical Pentecostal Christian Societies
6197
Soldiers of Christ's Cross Church
6198
Tabernacle
6199
Traditionalists
6200
Other Evangelical Pentecostal Societies
6201
Pentecostal not clearly specified
6202
Living God, Light of the World
6203
Christian and Missionary Alliance
6204
Non-Pentecostal Apostolic
6205
Evangelical Associations
6206
Biblical
6207
Confraternities
6208
Christ Church
6209
Peace Grace and Misericordia Church
6210
Open Bible Church
6211
Holiness Church
6212
Evangelical Salem Church
6213
Beautiful Woman Dressed in the Sun
6214
Messianic Church
6215
Evangelical Ministers
6216
Evangelical Missionaries
6217
Evangelical Movements
6218
New Jerusalem
6219
World Vision Church
6220
Evangelical not clearly specified
6221
Biblical - non-evangelicals
6222
Other Christians not clearly specified
6223
Assumptionist
6224
Carmelite
6225
Claretian
6226
Conception Franciscan
6227
Maronite Diocese of Mexico
6228
Dominican
6229
Servants of Mary Immaculate
6230
Franciscan
6231
Guadalupan
6232
Daughters of the Immaculate Conception
6233
Jesuit
6234
Legionaries of Christ
6235
Divine Word Missionary
6236
Pauline
6237
Sacred Heart
6238
Saint Joseph of Tarbes
6239
Servant of the Lord and the Virgin
6240
Servant of Jesus
6241
Greek Catholic Church
6242
Reformed Roman Catholic Church
6243
Mexican National Catholic Church
6244
Tridentine Latin Rite Catholic Church
6245
Priestly Society Trento
6246
Mexican Catholic Union of Trento
6247
Anabaptist / Memnonite
6248
Anglican / Episcopal
6249
House of Prayer
6250
Center of Faith, Hope and Love of the Missionary Revival Crusade
6251
Center of Faith, Hope and Love Agape Force
6252
Salvation Army
6253
Independent Pentecostal Fellowship
6254
Upper Chamber Church
6255
Faith Apostolic Church of Jesus Christ
6256
Spiritual Christian Church
6257
Pentecostal Evangelical Christian Church
6258
Interdenominational Christian Church
6259
Church of God Full Gospel in Mexico
6260
Church of Jesus Christ on the Rock
6261
Christ Evangelical Pentecostal Church Rock of my Salvation
6262
Mexican Church of Christ's Gospel Pentecost
6263
United Pentecostal Church of Mexico
6264
Universal Church of the Kingdom of God
6265
Only Christ Savior Christian Church
6266
Independent Evangelical Pentecostal Movement
6267
Prince of Peace
6268
National Union of Evangelical Christian Churches (UNICE)
6269
Union of Independent Evangelical Churches
6270
Other associations Pentecostal
6271
Church of the Living God, Pillar and Support of Truth, the Light of the World
6272
Bible Church
6273
Interdenominational Christian Church in Mexico
6274
Church of Christ
6275
Honey Church of Christ
6276
Independent Evangelical Church in Mexico
6277
Renewed Church of Jesus Christ and the Apostles of Divine Love
6278
Other Christian and Evangelical associations without Pentecostal support
6279
Faith Christian Church
6280
Traditional Apostolic Catholic Holy Church Mexico-USA
6281
Mexican Apostolic Catholic Church
6282
Elias
6283
Spiritualistic
6284
Spiritualist
6285
Marian Trinitarian Spirituality
6286
Spirituality of the Third Age
6287
Christian Spiritual
6288
Judiciary Society Reign of Leonardo Alcalá Leos
6289
Spirituality for the Divine Master and the purity of Mary
6290
Light and Hope
6291
Holy Spirit, Purity, Love and Light
6292
Christian Science
6293
Other Christian, Netherlands
6294
Reformed Churches in The Netherlands
6295
Other Reformed
6296
Other Christian, Nicaragua
6297
Moravian
6298
Other Christian, Philippines
6299
Aglipay
6300
Bible Christian Committees
6301
Born-again Christian
6302
Bread of Life Ministries
6303
Charismatic Full Gospel Ministries
6304
Christ the Living Stone Fellowship
6305
Christian and Missionary Alliance
6306
Christians Missions
6307
Church of Christ
6308
Evangelical Christian Outreach Foundation
6309
Evangelical Free Church
6310
Filipino Assemblies of the First Born Inc.
6311
Foursquare Gospel
6312
Free Believers in Christ Fellowship
6313
Free Mission in the Philippines Inc.
6314
God World Mission
6315
Good News Christian Churches
6316
IEMELIF Reform Movement
6317
Iglesia Evangelista Methodista en Las
6318
Iglesia ni Cristo
6319
Jesus Christ Saves Global Outreach
6320
Jesus is Lord Church
6321
Jesus Reigns Ministries
6322
Love of Christ International Ministries
6323
Other evangelical
6324
Other Evangelical Church
6325
Other Protestants
6326
Philippine Evangelical Mission
6327
Philippine Grace Gospel Fellowship
6328
Philippines Benevolent Missionaries
6329
Potter's House Christian Center
6330
Salvation Army Philippines
6331
Take the Nation for Jesus Global Ministries (Corpus Christi)
6332
UNIDA Evangelical Church
6333
United Church of Christ in the Philippines
6334
United Evangelical Church of the Philippines (Chinese)
6335
Victory Chapel Christian Fellowship
6336
Wesleyan Church
6337
World Missionary Evangelism
6338
Worldwide Church of God
6339
Zion Christian Community Church
6340
Other Christian, Portugal
6341
Other Christian, Romania
6342
Greek Catholic
6343
Reformed Church
6344
Evangelic of Augustan Confession
6345
Evangelic Synodo-Presbyterian
6346
Christian of Old Rite
6347
Christian by Gospel
6348
Evangelic
6349
Other Christian, Rwanda 2002
6350
Other Christian, Sierra Leone
6351
Other Christian, South Africa
6352
Reformed
6353
International Fellowship of Christian Churches
6354
Apostolic Faith Mission of SA
6355
Other Apostolic Churches
6356
Pinkster Protestant Church
6357
Afrikaanse Protestant Church
6358
Full Gospel Church of God in Southern Africa
6359
Pentecostal Churches
6360
Salvation Army
6361
Bandla Lama Nazaretha
6362
African Methodist Episcopal Church
6363
St John's Apostolic Church
6364
International Pentecost Church
6365
Ethiopian type churches
6366
Ethnic churches
6367
Other African Independent Churches
6368
Other Christian Churches
6369
Other Catholic Churches
6370
Other Pentecostal Churches
6371
Other Orthodox Churches
6372
Other African Apostolic churches
6373
Other Assemblies
6374
Christian Scientist
6375
Christian Centres
6376
Other Evangelical Churches
6377
Other Charismatic Churches
6378
Other Christian, Uganda
6379
Other Christian
6380
Other Christian, Saint Lucia
6381
Church of God
6382
Other Christian, Senegal
6383
Other Christian
6384
Other Christian, Switzerland
6385
Other protestant churches and communities
6386
Christ-Catholic church
6387
Other Christian communities
6388
Other Christian non-Catholic, Uruguay
6389
Other Christian, Fiji
6390
Christian undefined
6391
Church of England
6392
Gospel Hall and Brethern
6393
CMF (Every Home)
6394
Salvation Army
6395
All Nations Christian Fellowship
6396
Apostles Gospel Outreach Fellowship
6397
Christian Outreach Centre
6398
Other Christian, Brazil 2010
6399
Salvation Army
6400
Other Christian, Cameroon
6401
Other Christian, Armenia
6402
Armenia apostolic
6403
Nestorian
6404
Molokai
6406
Other Christian, Paraguay
6408
Christian Community
6409
Free Brothers
6410
Church of God
6411
Church of God of Prophecy
6412
New testament
6414
God is love
6415
Universal Church of the Kingdom of God
6416
People of God
6417
Family worship center
6418
Pseudo-Christian groups
6419
Other Christian, Paraguay
7000
Other
7001
Bahai
7002
Sikh
7003
Other, Austria
7004
Unification Church, Austria
7005
Other, Brazil
7006
Spiritist
7007
Kardecist Spiritist
7008
Afro Spiritist
7009
Mediumistic Spiritist
7010
Umbandist Mediumistic
7011
Candomblecist Mediumistic
7012
Other Afro-Brazilian
7013
Oriental, Brazil
7014
New Oriental
7015
Oriental Seicho No-le
7016
Other Oriental, Brazil
7017
Esoteric, Brazil
7018
Indigenous, Brazil
7019
Other minority groups, Brazil
7020
Other, Canada
7021
Eastern religions, Canada
7022
Other, Chile
7023
Theosophism
7024
Shintoism
7025
Other, Germany
7026
Other, Germany
7027
Other, Ghana
7028
Traditional, Ghana
7029
Other, Guinea
7030
Animist
7031
Other, Guinea
7032
Other, India
7033
Jainism
7034
Zoroastrianism
7035
Other, India
7036
Other, Indonesia
7037
Confucianism
7038
Other, Indonesia
7039
Other, Iran
7040
Zoroastrian
7041
Other, Iran
7042
Other, Jamaica
7043
Muslim/Hindu
7044
Rastafarian
7045
Other, Israel
7046
Druse
7047
Other, Israel
7048
Other, Malaysia
7049
Confucianism/Taoism
7050
Tribal/Folk religion, Malaysia
7051
Other, Mexico
7052
Brahmanism
7053
Hare Krishna
7054
Shintoism
7055
Taoism
7056
Mexican Movements
7057
Ananda Marga
7058
Church of Scientology
7059
Masons
7060
Raelian Movement
7061
New Age Movement
7062
Neoisraelites
7063
Occultists
7064
Palmar of Troya
7065
Rose Cross
7066
Theosophism
7067
Spiritualist Special Keys
7068
Onkaranada Center
7069
Confucianism
7070
Shia
7071
Universal Great Brotherhood
7072
Esoteric Science
7073
Gnosticism
7074
Metaphysics
7075
Wicca
7076
Shamanism
7077
The Custom
7078
Mexicayotl
7079
Restorative Confederate Movement of Anahuac Culture
7080
African Origin
7081
Rastafarians
7082
Indigenous Religions
7083
Growing in Grace
7084
Eckankar
7085
Transcendental Meditation
7086
Mission Branch
7087
Children of God
7088
Sri Sathya Sai Baba
7089
Other new religious movements
7090
Other, Philippines
7091
Door of Faith
7092
Faith Tabernacle Church (Living Rock Ministries)
7093
International One Way Outreach
7094
Miracle Life Fellowship International
7095
Miracle Revival Church of the Philippines
7096
Philippine Good News Ministries
7097
Philippine Missionary fellowship
7098
Things to Come
7099
Way of Salvation
7100
Word of the World
7101
Tribal Religions, Philippines
7102
Other, Romania
7103
Unitarian
7104
Armenian
7105
Mosaic
7106
Other, Romania
7107
Other, Rwanda
7108
Traditional religion, Rwanda
7109
Other, Rwanda
7110
Other, Sierra Leone
7111
Traditional religion, Sierra Leone
7112
Other, South Africa
7113
African traditional belief
7114
Taoist
7115
Confucian
7116
New Age
7117
Other non-Christian, S. Africa
7118
Other, Uganda
7119
Traditional religion
7120
Other non-Christian, Uganda
7121
Other, United Kindom
7122
Other, Vietnam
7123
Hoa Hoa
7124
Cao Dai
7125
Other, Nepal
7126
Kirat
7127
Jain
7128
Garaute
7129
Tap jura
7130
Other, Pakistan
7131
Ahmadi
7132
Parsi
7133
Scheduled caste
7134
Other, Saint Lucia
7135
Rastafarian
7136
Other, Thailand
7137
Confucian
7138
Other, Uruguay
7139
Umbanda/other Afro-American
7140
Other, Uruguay
7141
Other, Burkina Faso
7142
Animist
7143
Other, Fiji
7144
Confucian
7145
Kabir Panthi
7146
Satya Sai Baba
7147
Bahai
7148
Other non-Christian, Fiji
7149
Other, Haiti
7150
Voodoo
7151
Other, Cameroon
7152
Animist
7153
Other, Liberia
7154
Traditional
7155
Other, Mali
7156
Animist
7157
Other, Nigeria
7158
Traditional
7159
Other, Armenia
7160
Pagan
7161
Shar-fadinian
7162
Other, Ethiopia
7163
Traditional
7164
Other, Ethiopia
7165
Other, Paraguay
7166
Philosophical revelations
7167
Indigenous religion
7168
Reyukai
7169
Other, Paraguay
7900
Other, not elsewhere classified
9999
Unknown
Ethnicity and Language Variables -- PERSON
Hours worked per week
0
0
HRSWORK1 indicates the number of hours the respondent worked per week at all jobs.
0
0 hours
1
1 hour
2
2 hours
3
3 hours
4
4 hours
5
5 hours
6
6 hours
7
7 hours
8
8 hours
9
9 hours
10
10 hours
11
11 hours
12
12 hours
13
13 hours
14
14 hours
15
15 hours
16
16 hours
17
17 hours
18
18 hours
19
19 hours
20
20 hours
21
21 hours
22
22 hours
23
23 hours
24
24 hours
25
25 hours
26
26 hours
27
27 hours
28
28 hours
29
29 hours
30
30 hours
31
31 hours
32
32 hours
33
33 hours
34
34 hours
35
35 hours
36
36 hours
37
37 hours
38
38 hours
39
39 hours
40
40 hours
41
41 hours
42
42 hours
43
43 hours
44
44 hours
45
45 hours
46
46 hours
47
47 hours
48
48 hours
49
49 hours
50
50 hours
51
51 hours
52
52 hours
53
53 hours
54
54 hours
55
55 hours
56
56 hours
57
57 hours
58
58 hours
59
59 hours
60
60 hours
61
61 hours
62
62 hours
63
63 hours
64
64 hours
65
65 hours
66
66 hours
67
67 hours
68
68 hours
69
69 hours
70
70 hours
71
71 hours
72
72 hours
73
73 hours
74
74 hours
75
75 hours
76
76 hours
77
77 hours
78
78 hours
79
79 hours
80
80 hours
81
81 hours
82
82 hours
83
83 hours
84
84 hours
85
85 hours
86
86 hours
87
87 hours
88
88 hours
89
89 hours
90
90 hours
91
91 hours
92
92 hours
93
93 hours
94
94 hours
95
95 hours
96
96 hours
97
97 hours
98
98 hours
99
99 hours
100
100 hours
101
101 hours
102
102 hours
103
103 hours
104
104 hours
105
105 hours
106
106 hours
107
107 hours
108
108 hours
109
109 hours
110
110 hours
111
111 hours
112
112 hours
113
113 hours
114
114 hours
115
115 hours
116
116 hours
117
117 hours
118
118 hours
119
119 hours
120
120 hours
121
121 hours
122
122 hours
123
123 hours
124
124 hours
125
125 hours
126
126 hours
127
127 hours
128
128 hours
129
129 hours
130
130 hours
131
131 hours
132
132 hours
133
133 hours
134
134 hours
135
135 hours
136
136 hours
137
137 hours
138
138 hours
139
139 hours
140
140+ hours
998
Unknown
999
NIU (not in universe)
Work Variables -- PERSON
Hours worked per week, categorized
0
0
HRSWORK2 indicates the number of hours the respondent worked per week at all jobs, categorized into intervals.
0
None
1
1 to 14 hours
2
15 to 29 hours (except ve1971)
3
30 to 39 hours (except ve1971 and de1970)
4
40-48 hours (except il1972 and de1970)
5
49 hours or more
8
Unknown
9
NIU (not in universe)
Work Variables -- PERSON
Country of birth
0
0
BPLCOUNTRY indicates the person's country of birth.
0
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11051
Ethiopia (including Eritrea)
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11990
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12990
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13011
Algeria/Tunisia
13020
Egypt
13021
Egypt/Sudan
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14990
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15021
Upper Volta
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15081
Guinea-Bissau and Cape Verde
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15990
West Africa, n.s.
19990
Africa, other and n.s.
19991
Central and South Africa
19992
East and Central Africa
19993
Southeastern Africa
19994
Saharan Africa
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21990
Other Caribbean and n.s.
21991
Caribbean commonwealth, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, other and n.s.
23991
South America or Central America, n.s.
23992
Central/South America and Caribbean
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24990
North America, other and n.s.
24991
North America/Oceania
29990
Americas, other and n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
31990
Eastern Asia, n.s.
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India/Pakistan
32042
India/Pakistan/Bangladesh/Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32101
Pakistan/Bangladesh
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32999
South-Central Asia, n.s.
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
33990
South-Eastern Asia, n.s.
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34071
Israel/Palestine
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestinian Territories
34111
West Bank
34112
Gaza Strip
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34990
Western Asia, n.s.
34991
Middle East
39990
Asia, other and n.s.
39991
Central Asia and Middle East, n.s.
39992
Far East, n.s.
39993
Eastern/Southeast Asia, n.s.
39994
Asia/Middle East, other and n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Bulgaria/Greece
41030
Czech Republic/Czechoslovakia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41990
Eastern Europe, other and n.s.
41991
Albania, Bulgaria, Czech, Hungary, Romania, Yugoslavia
41992
Central-Eastern Europe
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42100
Svalbard and Jan Mayen Islands
42110
Sweden
42120
United Kingdom
42990
Northern Europe, n.s.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia and Herzegovina
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43071
Vatican City
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43121
Spain/Portugal
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43144
Kosovo
43990
Southern Europe, n.s.
43991
Gibraltar/Malta
43992
Portugal/Greece
43993
Italy, Holy See, San Marino
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Belgium/Netherlands/Luxemburg
44030
France
44040
Germany
44041
Germany/Austria
44042
West Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44990
Western Europe, n.s.
44991
Belgium, Denmark, Luxembourg, Netherlands
49991
Turkey and U.S.S.R.
49992
European Union
49993
European Union (Original 15)
49994
Other European Union
49995
EEA, Switzerland, associated microstates
49999
Europe, other and n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.s.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53990
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Eastern Samoa
54070
Tokelau
54080
Tonga
54090
Tuvalu
54100
Wallis and Futuna Isls.
54990
Polynesia, n.s.
55000
U.S. Pacific Possessions
55010
American Samoa
55020
Baker Island
55030
Guam
55040
Howland Island
55050
Johnston Atoll
55060
Kingman Reef
55070
Midway Islands
55080
Wake Island
55990
Other US Pacific
59990
Oceania, n.s.
60000
OTHER ABROAD
60100
U.S. Outlying Areas and Territories
60200
Africa/Other
60300
Central/South America or Africa
60400
Asia/Africa
60500
Europe, Australia, New Zealand
60600
Other commonwealth
60700
Asia, Australia, Oceania, n.s.
69900
Other countries, not specified
99999
Unknown
Nativity and Birthplace Variables -- PERSON
Country of residence 5 years ago
0
0
0
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12090
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13999
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15030
Cape Verde
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Senegal
15160
Sierra Leone
15170
Togo
15999
Western Africa, n.s.
19999
Africa, n.s.
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21280
Curacao
21290
Sint Maarten
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22990
Central America, n.s.
22991
Central America and Caribbean
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23999
South America, n.s.
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
United States
24041
U.S. Outlying Areas and Territories
24999
North or Central America, n.s.
29999
Americas, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
32900
South Asia, not specified
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33030
East Timor
33040
Indonesia
33050
Laos
33060
Malaysia
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34151
Syria/Lebanon
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34999
Middle East, n.e.c.
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41030
Czech Republic
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
Eastern Europe, n.e.c.
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42199
Scandinavia
42999
Northern Europe, n.e.c.
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxembourg
44022
Benelux (Belgium/Netherlands/Luxembourg)
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
44999
Western Europe, n.e.c.
49999
Europe, n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
52999
Melanesia, n.e.c.
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
54999
Polynesia, n.e.c.
59999
Oceania, n.s.
60000
Other
60010
Other Arab country
90000
Non-migrants (international)
99998
Response suppressed
99999
Unknown
Migration Variables -- PERSON
Country of previous residence
0
0
0
NIU (not in universe)
10000
Africa
11000
Eastern Africa
11010
Burundi
11020
Comoros
11030
Djibouti
11040
Eritrea
11050
Ethiopia
11060
Kenya
11070
Madagascar
11080
Malawi
11090
Mauritius
11100
Mozambique
11110
Reunion
11120
Rwanda
11130
Seychelles
11140
Somalia
11150
South Sudan
11160
Uganda
11170
Tanzania
11180
Zambia
11190
Zimbabwe
11999
Eastern Africa, n.s.
12000
Middle Africa
12010
Angola
12020
Cameroon
12030
Central African Republic
12040
Chad
12050
Congo
12060
Democratic Republic of Congo
12070
Equatorial Guinea
12080
Gabon
12100
Sao Tome and Principe
12999
Middle Africa, n.s.
13000
Northern Africa
13010
Algeria
13020
Egypt/United Arab Rep.
13030
Libya
13040
Morocco
13050
Sudan
13060
Tunisia
13070
Western Sahara
13990
Northern Africa, n.s.
14000
Southern Africa
14010
Botswana
14020
Lesotho
14030
Namibia
14040
South Africa
14050
Swaziland
14999
Southern Africa, n.s.
15000
Western Africa
15010
Benin
15020
Burkina Faso
15040
Ivory Coast
15050
Gambia
15060
Ghana
15070
Guinea
15080
Guinea-Bissau
15090
Liberia
15100
Mali
15110
Mauritania
15120
Niger
15130
Nigeria
15140
St. Helena and Ascension
15150
Cape Verde
15160
Sierra Leone
15170
Togo
19999
Africa, n.s.
20000
Americas
21000
Caribbean
21010
Anguilla
21020
Antigua-Barbuda
21030
Aruba
21040
Bahamas
21050
Barbados
21060
British Virgin Islands
21070
Cayman Isles
21080
Cuba
21090
Dominica
21100
Dominican Republic
21110
Grenada
21120
Guadeloupe
21130
Haiti
21140
Jamaica
21150
Martinique
21160
Montserrat
21170
Netherlands Antilles
21180
Puerto Rico
21190
St. Kitts-Nevis
21200
St. Croix
21210
St. John
21220
St. Lucia
21230
St. Thomas
21240
St. Vincent and the Grenadines
21250
Trinidad and Tobago
21260
Turks and Caicos
21270
U.S. Virgin Islands
21999
Caribbean, n.s.
22000
Central America
22010
Belize/British Honduras
22020
Costa Rica
22030
El Salvador
22040
Guatemala
22050
Honduras
22060
Mexico
22070
Nicaragua
22080
Panama
22081
Panama Canal Zone
22999
Central America, n.s.
23000
South America
23010
Argentina
23020
Bolivia
23030
Brazil
23040
Chile
23050
Colombia
23060
Ecuador
23070
Falkland Islands
23080
French Guiana
23090
Guyana/British Guiana
23100
Paraguay
23110
Peru
23120
Suriname
23130
Uruguay
23140
Venezuela
23990
South America, n.s.
23991
Central and Latin America
24000
North America
24010
Bermuda
24020
Canada
24030
Greenland
24040
Saint Pierre and Miquelon
24050
United States
24051
U.S. Outlying Areas and Territories
24999
U.S.A, Canada, Mexico
29999
Americas, n.s.
30000
Asia
31000
Eastern Asia
31010
China
31011
Hong Kong
31012
Macau
31013
Taiwan
31020
Japan
31030
Korea
31031
Korea, DPR (North)
31032
Korea, RO (South)
31040
Mongolia
32000
South-Central Asia
32010
Afghanistan
32020
Bangladesh
32030
Bhutan
32040
India
32041
India, Pakistan, Bangladesh, Sri Lanka
32050
Iran
32060
Kazakhstan
32070
Kyrgyzstan
32080
Maldives
32090
Nepal
32100
Pakistan
32110
Sri Lanka (Ceylon)
32120
Tajikistan
32130
Turkmenistan
32140
Uzbekistan
33000
South-Eastern Asia
33010
Brunei
33020
Cambodia (Kampuchea)
33040
Indonesia
33050
Laos
33060
Malaysia
33061
Malaysia and Singapore
33070
Myanmar (Burma)
33080
Philippines
33090
Singapore
33100
Thailand
33110
Vietnam
34000
Western Asia
34010
Armenia
34020
Azerbaijan
34030
Bahrain
34040
Cyprus
34050
Georgia
34060
Iraq
34070
Israel
34080
Jordan
34090
Kuwait
34100
Lebanon
34110
Palestine
34120
Oman
34130
Qatar
34140
Saudi Arabia
34150
Syria
34160
Turkey
34170
United Arab Emirates
34180
Yemen
34190
Middle East, not specified
34191
Arabia
34199
Gulf countries
39999
Asia, n.s.
40000
Europe
41000
Eastern Europe
41010
Belarus
41020
Bulgaria
41021
Albania/Bulgaria/Romania
41030
Czech Republic
41031
Czechoslovakia/Yugoslavia
41040
Hungary
41050
Poland
41060
Moldova
41070
Romania
41080
Russia/USSR
41090
Slovakia
41100
Ukraine
41999
42000
Northern Europe
42010
Denmark
42020
Estonia
42030
Faroe Islands
42040
Finland
42050
Iceland
42060
Ireland
42070
Latvia
42080
Lithuania
42090
Norway
42110
Sweden
42120
United Kingdom
42199
Scandinavia
43000
Southern Europe
43010
Albania
43020
Andorra
43030
Bosnia
43040
Croatia
43050
Gibraltar
43060
Greece
43070
Italy
43080
Malta
43090
Portugal
43100
San Marino
43110
Slovenia
43120
Spain
43130
Macedonia
43140
Yugoslavia
43141
Montenegro
43142
Serbia
43143
Serbia and Montenegro
43999
Southern Europe, n.s.
44000
Western Europe
44010
Austria
44020
Belgium
44021
Belgium/Luxemburg
44022
Benelux (Belgium/Netherlands/Luxemburg)
44030
France
44040
Germany
44050
Liechtenstein
44060
Luxembourg
44070
Monaco
44080
Netherlands
44090
Switzerland
49999
Europe, n.s.
50000
Oceania
51000
Australia and New Zealand
51010
Australia
51020
New Zealand
51021
New Zealand/New Guinea
51030
Norfolk Islands
51999
Australia and New Zealand, n.s.
52000
Melanesia
52010
Fiji
52020
New Caledonia
52030
Papua New Guinea
52040
Solomon Islands
52050
Vanuatu (New Hebrides)
53000
Micronesia
53010
Kiribati
53020
Marshall Islands
53030
Nauru
53040
Northern Mariana Isls.
53050
Palau
53999
Micronesia, n.e.c.
54000
Polynesia
54010
Cook Islands
54020
French Polynesia
54030
Niue
54040
Pitcairn Island
54050
Samoa
54060
Tokelau
54070
Tonga
54080
Tuvalu
54090
Wallis and Futuna Isls.
59999
Oceania, n.s.
60000
Other
60010
Europe, Australia, New Zealand
60020
Asia and Oceania, n.s.
90000
Non-migrants (International)
99998
Response suppressed
99999
Unknown
Migration Variables -- PERSON
Years residing in current state, Brazil
0
0
0
Less than 1 year
1
1
2
2
3
3
4
4
5
5
6
6 (6 to 10 1960-70, 6 to 9 1980)
7
7
8
8
9
9
10
10 (10+ 1980)
11
11 (11+ 1960-70)
12
12
13
13
14
14
15
15
16
16
17
17
18
18
19
19
20
20
21
21
22
22
23
23
24
24
25
25
26
26
27
27
28
28
29
29
30
30
31
31
32
32
33
33
34
34
35
35
36
36
37
37
38
38
39
39
40
40
41
41
42
42
43
43
44
44
45
45
46
46
47
47
48
48
49
49
50
50
51
51
52
52
53
53
54
54
55
55
56
56
57
57
58
58
59
59
60
60
61
61
62
62
63
63
64
64
65
65
66
66
67
67
68
68
69
69
70
70
71
71
72
72
73
73
74
74
75
75
76
76
77
77
78
78
79
79
80
80
81
81
82
82
83
83
84
84
85
85
86
86
87
87
88
88
89
89
90
90
91
91
92
92
93
93
94
94
95
95
96
96
97
97+
98
Unknown
99
NIU (not in universe)
Migration Variables -- PERSON
Nativity status
0
0
NATIVITY indicates whether the person was native- or foreign-born.
0
NIU (not universe)
1
Native-born
2
Foreign-born
9
Unknown/missing
Nativity and Birthplace Variables -- PERSON
Year [person version]
0
0
[This file is just a placeholder. See the household version of the variable.]
This is a 4-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
IPUMS sample identifier [person version]
0
0
[This file is just a placeholder. See the household version of the variable.]
This is a 9-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
Household serial number [person version]
0
0
[This file is just a placeholder. See the household version of the variable.]
This is a 10-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
Country [person version]
0
0
[This file is just a placeholder. See the household version of the variable.]
This is a 3-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON
Record type [person version]
0
0
[This file is just a placeholder. See the household version of the variable.]
This is a 1-digit numeric variable with 0 implied decimal places
Technical Person Variables -- PERSON