Second General Census of Population and Housing 1987 - IPUMS Subset
Cameroon, 1987
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Reference ID
CMR_1987_PHC_v01_M_v03_A_IPUMS
Producer(s)
Ministère du Plan et de l'Amenagement du Territoire, Minnesota Population Center
Created on
Sep 15, 2013
Last modified
Mar 29, 2019
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- Data files
- CMR1987-H-H
- CMR1987-P-H
Arrondissement or country of residence in 1976 (CM1987A_0422)
Data file: CMR1987-P-H
Overview
Valid:
0
Invalid:
0
Type:
Discrete
Decimal:
0
Start:
178
End:
180
Width:
3
Range:
1 - 999
Format:
Numeric
Questions and instructions
Literal question
Population of 11 years and older (born before April 1976)
[Questions 23-26 were asked of persons 11 years old or more.]
P23. Place of residence during the April 1976 census________
Where was [the respondent] residing during the April 1976 census? Put the subdivision or the district if it is known, or the name of the locality and the division in brackets, if it is in Cameroon. Put the country if it is abroad.
[Questions 23-26 were asked of persons 11 years old or more.]
P23. Place of residence during the April 1976 census________
Where was [the respondent] residing during the April 1976 census? Put the subdivision or the district if it is known, or the name of the locality and the division in brackets, if it is in Cameroon. Put the country if it is abroad.
Categories
| Value | Category |
|---|---|
| 1 | Ngaoundal |
| 2 | Tibati |
| 3 | Mayo-Baleo |
| 4 | Tignere |
| 5 | Galim Tignere |
| 6 | Bankim |
| 7 | Banyo |
| 8 | Meeganga |
| 9 | Djohong |
| 10 | Belel |
| 11 | Ngaoundere |
| 12 | Mbe |
| 13 | Mbandjock |
| 14 | Minta |
| 15 | Nanga-Eboko |
| 16 | Nkoteng |
| 17 | Evodoula |
| 18 | Monatele |
| 19 | Obala |
| 20 | Okola |
| 21 | Saa |
| 22 | Bafia |
| 23 | Deuk |
| 24 | Bokito |
| 25 | Ndikiniminki |
| 26 | Makenene |
| 27 | Ntui |
| 28 | Ngoro |
| 29 | Ombessa |
| 30 | Yoko |
| 31 | Ngambe Tikar |
| 32 | Akono |
| 33 | Awae |
| 34 | Bikok |
| 35 | Esse |
| 36 | Mbankomo |
| 37 | Mfou |
| 38 | Ngoumou |
| 39 | Soa |
| 40 | Yaounde I |
| 41 | Yaounde II |
| 42 | Yaounde III |
| 43 | Yaounde IV |
| 44 | Bot-Makak |
| 45 | Eseka |
| 46 | Maka |
| 47 | Messondo |
| 48 | Ngog-Mapubi |
| 49 | Dibang |
| 50 | Matomb |
| 51 | Akonolinga |
| 52 | Ayos |
| 53 | Endom |
| 54 | Dzeng |
| 55 | Mbalmayo |
| 56 | Ngomedzap |
| 57 | Moloudou |
| 58 | Yokadouma |
| 59 | Garigombo |
| 60 | Abong-Mbang |
| 61 | Doume |
| 62 | Lomie |
| 63 | Ngoyla |
| 64 | Massamena |
| 65 | Nguelemedouka |
| 66 | Dimako |
| 67 | Batouri |
| 68 | Ndelele |
| 69 | Kette |
| 70 | Mbang |
| 71 | Bertoua |
| 72 | Diang |
| 73 | Betare-Oya |
| 74 | Belabo |
| 75 | Garoua-Boulae |
| 76 | Bogo |
| 77 | Maroua |
| 78 | Gazawa |
| 79 | Meri |
| 80 | Kaele |
| 81 | Moutourwa |
| 82 | Guidiguis |
| 83 | Mindif |
| 84 | Moulvoudaye |
| 85 | Kousseri |
| 86 | Makary |
| 87 | Fotokol |
| 88 | Hile-Halifa |
| 89 | Logone-birni |
| 90 | Goulfey |
| 91 | Blangoua |
| 92 | Waza |
| 93 | Kar-Hay |
| 94 | Kalfou |
| 95 | Yagoua |
| 96 | Wina |
| 97 | Guere |
| 98 | Maga |
| 99 | Mora |
| 100 | Tokombere |
| 101 | Kolfata |
| 102 | Mokolo |
| 103 | Hina |
| 104 | Bourrha |
| 105 | Koza |
| 106 | Dibombari |
| 107 | Loum |
| 108 | Mandjo |
| 109 | Mbanga |
| 110 | Melong |
| 111 | Nkongsamba |
| 112 | Nkondjock |
| 113 | Yabassi |
| 114 | Yingui |
| 115 | Dizangue |
| 116 | Edea |
| 117 | Ndom |
| 118 | Ngambe |
| 119 | Pouma |
| 120 | Mouanko |
| 121 | Douala I |
| 122 | Douala II |
| 123 | Douala III |
| 124 | Douala IV |
| 125 | Garoua |
| 126 | Bibemi |
| 127 | Pitoa |
| 128 | Poli |
| 129 | Beka |
| 130 | Guider |
| 131 | Mayo-Oulo |
| 132 | Figuil |
| 133 | Rey-Bouba |
| 134 | Tchollire |
| 135 | Touboro |
| 136 | Jakiri |
| 137 | Kumbo |
| 138 | Nkambe |
| 139 | Ako |
| 140 | Nwa |
| 141 | Fundong |
| 142 | Wum |
| 143 | Furu-Awa |
| 144 | Bali |
| 145 | Bamenda |
| 146 | Tubah |
| 147 | Ndop |
| 148 | Batibo |
| 149 | Mbengui |
| 150 | Njikwa |
| 151 | Batcham |
| 152 | Galim |
| 153 | Bouda |
| 154 | Bafang |
| 155 | Bakou |
| 156 | Bana |
| 157 | Bandja |
| 158 | Kekem |
| 159 | Dschang |
| 160 | Penka-Michel |
| 161 | Santchou |
| 162 | Fokoue |
| 163 | Bafoussam |
| 164 | Bamendjou |
| 165 | Bandjoun |
| 166 | Bangou |
| 167 | Baham |
| 168 | Bangangte |
| 169 | Bazou |
| 170 | Tonga |
| 171 | Foumban |
| 172 | Koutaba |
| 173 | Foumbot |
| 174 | Magba |
| 175 | Malantouen |
| 176 | Massagam |
| 177 | Bengbis |
| 178 | Djoum |
| 179 | Oveng |
| 180 | Mintom |
| 181 | Sangmelima |
| 182 | Zoetele |
| 183 | Ambam |
| 184 | Olamze |
| 185 | Ebolowa |
| 186 | Biwong-Bane |
| 187 | Mengong |
| 188 | Ngoulemakong |
| 189 | Ma'an |
| 190 | Mvangan |
| 191 | Akom II |
| 192 | Campo |
| 193 | Kribi |
| 194 | Lolodorf |
| 195 | Mvengue |
| 196 | Buea |
| 197 | Limbe |
| 198 | Muyuka |
| 199 | Tiko |
| 200 | Akwaya |
| 201 | Eyumodjock |
| 202 | Fontem |
| 203 | Mamfe |
| 204 | Bangem |
| 205 | Kumba |
| 206 | Nguti |
| 207 | Tombel |
| 208 | Bamusso |
| 209 | Ekondo-Titi |
| 210 | Isanguele |
| 211 | Kombo-Itindi |
| 212 | Kombo-Abedimo |
| 213 | Idabato |
| 214 | Mundemba |
| 301 | Congo |
| 302 | Gabon |
| 303 | Central African Republic |
| 304 | Chad |
| 305 | Zaire |
| 306 | Equatorial Guinea |
| 307 | Nigeria |
| 308 | Niger |
| 309 | Benin |
| 310 | Senegal |
| 311 | Ivory cost |
| 312 | Mali |
| 313 | Ghana |
| 315 | Other West African |
| 329 | Other African countries |
| 330 | France |
| 331 | United Kingdom |
| 332 | Germany |
| 333 | Italy |
| 334 | Belgium, Netherlands, Luxembourg |
| 335 | Spain, Greece, Portugal, Denmark |
| 336 | Soviet Union |
| 337 | Other European countries |
| 338 | USA |
| 339 | Canada |
| 340 | Other countries of America and Caribbean |
| 342 | Middle Eastern and Asian countries |
| 999 | NIU (Not in universe) |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
Interviewer instructions
Columns P23 to P25: Population of 11 years and older (born before April 1976)
Note that these columns concern only persons who are 11 or more years old, in other words persons born before April 1976.
1) For persons who are less than 11 years old, put a dash in columns P23, P24 and P25.
2) For persons who are 11 or more years old. Fill in the following columns in compliance with the instructions below.
Column P23: Place of residence during the 1976 census
This requires the sub-division in which the person lived by the time the April 1976 census was conducted in Cameroon.
a) Persons who were living in Cameroon. Write the name of the subdivision or district in which the person was living, if given.
If the person does not know the subdivision in which he was living in April 1976, write the name of the locality followed by the division, in brackets, in which the locality of his residence was found.
b) Persons who were living out of Cameroon. Write the name of the country in which the person was living.
Note that these columns concern only persons who are 11 or more years old, in other words persons born before April 1976.
1) For persons who are less than 11 years old, put a dash in columns P23, P24 and P25.
2) For persons who are 11 or more years old. Fill in the following columns in compliance with the instructions below.
Column P23: Place of residence during the 1976 census
This requires the sub-division in which the person lived by the time the April 1976 census was conducted in Cameroon.
a) Persons who were living in Cameroon. Write the name of the subdivision or district in which the person was living, if given.
If the person does not know the subdivision in which he was living in April 1976, write the name of the locality followed by the division, in brackets, in which the locality of his residence was found.
b) Persons who were living out of Cameroon. Write the name of the country in which the person was living.
Description
Definition
This variable indicates the person's place of residence during the 1976 census. Names of districts have been used for those who resided within Cameroon, while names of countries have been used for those who resided outside Cameroon.
Universe
Persons age 11+
concept
Concept
| var_concept.title | Vocabulary |
|---|---|
| Migration Variables -- PERSON | IPUMS |