Demographic and Health Survey 2007 - IPUMS Subset

Bangladesh, 2007

Reference ID

BGD_2007_DHS_v01_M_v02_A_IPUMS

Producer(s)

National Institute of Population Research and Training (NIPORT), Mitra and Associates, and Macro International., Minnesota Population Center

Metadata

DDI/XML JSON

Created on

Sep 19, 2018

Last modified

Sep 19, 2018

Page views

64907

Data file: BGD2007-M.dat

Man records

Cases:	3771

Variables

M_SAMPLE

IPUMS-DHS sample identifier

M_SAMPLESTR

IPUMS-DHS sample identifier (string)

M_COUNTRY

Country

M_YEAR

Year of sample

M_IDHSPID

Unique cross-sample respondent identifier

M_IDHSHID

Unique cross-sample household identifier

M_DHSID

Key to link DHS clusters to context data (string)

M_IDHSPSU

Unique sample-case PSU identifier

M_IDHSSTRATA

Unique cross-sample sampling strata

M_MCASEID

Sample-specific respondent identifier

M_HHID

Sample-specific household identifier

M_PSUMN

Sample-specific primary sampling unit

M_STRATAMN

Sample-specific sampling strata

M_DOMAINMN

Sample-specific domain

M_HHNUMMN

Household number in cluster

M_CLUSTERNOMN

Sample-specific cluster number

M_ULTAREAUNITMN

Sample-specific ultimate area unit

M_LINENOMN

Household line number of man respondent

M_LINENOHHRESP

Respondent's line number (answering Household questionnaire)

M_PERWEIGHTMN

Men's sample weight

M_INTYEARMN

Year of interview

M_MONTHINTMN

Month of interview

M_INTDAYMN

Day of interview

M_INTDATECMCMN

Century month date of interview

M_INTSTARTCMC

Century month code (CMC) for start of survey

M_INTENDCMC

Century month code (CMC) for end of survey

M_INTSTARTMN

Time men's interview started (hhmm - 24 hour clock)

M_INTENDMN

Time men's interview ended (hhmm - 24 hour clock)

M_INTDURATIONMN

Length of men's interview in minutes

M_INTRESULTMN

Result of men's interview

M_VISITNOMN

Number of visits for male interviews

M_INTERVIEWERIDMR

Identification number of interviewer, men's survey

M_URBANMN

Type of place of residence

M_DEFACTORESMN

De facto place of residence

M_RESIDEINTYRMN

Years lived in place of residence

M_PREVRESTYPMN

Type of place of previous residence

M_GEO_BD1994_2014

Bangladesh regions, 1994-2014 [integrated; GIS]

M_GEO_BD2007

Bangladesh regions, 2007 [GIS]

M_RESIDENTMN

Usual resident or visitor

M_AGEMN

Age

M_AGE5YEARMN

Age in 5-year groups

M_BIRTHMOMN

Man's month of birth

M_BIRTHYEARMN

Man's year of birth

M_DOBCMCMN

Man's date of birth (century month code)

M_DOBINFORESPMN

Information given on respondent's date of birth

M_RELATEMN

Man's relationship to HH head

M_RELIGIONMN

Religion

M_MARSTATMN

Man's current marital or union status

M_CURRMARRMN

Man never, currently, or formerly married/in union

M_UNION1MOREMN

Man had one or more than one union

M_WIFEINHOME

Wife/partner lives in man's household

M_WIFENUMMN

Number of current wives/partners

M_MAR1STMOMN

Month of first marriage or cohabitation

M_MAR1STYRMN

Year of first marriage or cohabitation

M_MAR1STCMCMN

Date of first marriage or cohabitation (CMC)

M_MAR1STDATINFOMN

Completeness of information, date of first marriage/union

M_AGE1STMARMN

Age at first marriage or cohabitation

M_YRSTO1STMARMN

Years since starting date of first marriage/cohabitation

M_DURMARGRPMN

Years since date of 1st marriage or cohabitation (grouped)

M_EVERMARRIEDMN

Ever been married or lived with a woman

M_WIFEPARNUM

Number of wives/partners in man's household

M_LINENOWIFE_ALL

Line number(s) of man's wives/partners in HH

M_LINENOWIFE_01

Line number of man's 1st wife/partner in HH

M_LINENOWIFE_02

Line number of man's 2nd wife/partner in HH

M_LINENOWIFE_03

Line number of man's 3rd wife/partner in HH

M_LINENOWIFE_04

Line number of man's 4th wife/partner in HH

M_LINENOWIFE_05

Line number of man's 5th wife/partner in HH

M_LINENOWIFE_06

Line number of man's 6th wife/partner in HH

M_LINENOWIFE_07

Line number of man's 7th wife/partner in HH

M_LINENOWIFE_08

Line number of man's 8th wife/partner in HH

M_PREGNANTMN

Partner of male respondent is currently pregnant

M_AGELBORNKIDMN

Age of last-born biological child of male respondent

M_LBORNANCARE

Antenatal check-ups for the mother of most recent child

M_LBORNANCAREGO

Man present during antenatal check-ups for most recent child

M_HHMEMTOTALMN

Total number of household members

M_HHELIGMENMN

Number of eligible men in household (de facto)

M_HHEADAGEMN

Age of household head

M_HHEADAGEHH

Age of household head (from HH record)

M_HHEADSEXMN

Sex of household head

M_HHEADSEXHH

Sex of household head (from hh record)

M_FAMSTRUCTR

Relationship structure in HH

M_SLEEPROOMS

Number of rooms in HH used for sleeping

M_WALL

Main material of outside walls of dwelling

M_FLOOR

Main material of floor

M_ROOF

Main material of roof

M_ELECTRCHH

Dwelling has electricity (from hh record)

M_COOKFUEL

Type of fuel household uses for cooking

M_KITCHEN

Household has separate room for kitchen

M_CHIMHOOD

HH fire or stove has chimney or hood

M_COOKWHERE

Where cooking is usually done

M_TOILETTYPE

Type of toilet facility

M_TOILETSHAREYN

Household shares toilet facility

M_TOILSHARNUMT

Number of other households sharing hh's toilet, topcoded

M_NDRINKWTR

Major source of non-drinking water

M_DRINKWTR

Major source of drinking water

M_TREATWTRYN

Household uses any method to treat drinking water

M_TRBLEACH

HH treats water by: Adding bleach/chlorine

M_TRBOIL

HH treats water by: Boiling

M_TRCLOTH

HH treats water by: Straining through cloth

M_TRFILTER

HH treats water by: Using water filters

M_TRSTAND

HH treats water by: Letting it stand

M_TROTHER

HH treats water by: Other methods

M_TRDK

HH treats water by: Don't know

M_HHPHONEHH

House has telephone (household record)

M_MOBPHONE

HH has mobile phone

M_BIKEHH

HH has bicycle (from HH record)

M_CARHH

HH has car/truck (from HH record)

M_MOTORCYCLHH

HH has motorcycle/scooter (from HH record)

M_RICKSHAW

HH has rickshaw/van

M_BOATWMOTOR

HH has boat with a motor

M_HOMESTEAD

HH owns homestead

M_FRIDGEHH

HH has refrigerator (from HH record)

M_RADIOHH

HH has radio (from HH record)

M_TVHH

HH has television (from HH record)

M_WATCHCLOCK

HH has watch or clock

M_CHAIR

HH has chair

M_TABLE

HH has table

M_WARDBOOKYN

HH has wardrobe or bookcase

M_DRAWNCART

HH has animal-drawn cart

M_LIVESTOCKYN

HH owns livestock

M_COWBULLYN

HH owns cows/bulls (yes or no)

M_COWBULLNUM

Number of cows/bulls owned by HH

M_SHEEPGOATYN

HH owns sheep/goats

M_SHEEPGOATNUM

Number of sheep/goats owned by HH

M_CHICKYN

HH owns chickens (yes or no)

M_CHICKNUM

Number of chickens owned by HH (topcoded)

M_CURRWORKMN

Currently working

M_WKWORKLASTYRMN

Respondent worked recently

M_WKEMPLOYWHENMN

Respondent works all year, seasonally, or occasionally

M_WEALTHQMN

Household wealth index in quintiles

M_WEALTHSMN

Wealth index factor score (5 decimals)

M_EDUCLVLMN

Highest educational level

M_YRSCHLMN

Highest year of education in level

M_EDYRTOTALMN

Man's total years of education

M_EDACHIEVERMN

Man's summary educational achievement

M_LIT2MN

Literacy, based on reading passage)

M_NEWSFQMN

Frequency of reading newspaper or magazine

M_RADIOFQMN

Frequency of listening to radio

M_TVFQMN

Frequency of watching television

M_FERTPREFMN

Fertility preference

M_KIDDESIREMN

Desire for more children

M_IDEALKIDMN

Ideal number of children

M_IDEALKIDGRPMN

Ideal number of children (grouped)

M_IDEALBOYSMN

Ideal number of boys

M_IDEALGIRLSMN

Ideal number of girls

M_IDEALBOTHMN

Ideal number of children of either sex

M_IDEALBTHFUTMN

Desired time for future birth

M_PREFTIMECHMN

Man's preferred waiting time for birth of a/another child

M_PREFTIMECHGPMN

Man's preferred waiting time for birth of a/another child (grouped)

M_FPISFEMPROB

Thinks contraception is woman's business, man should not worry

M_FPMAKEFEMPROM

Thinks women who use contraception become promiscuous

M_FPRADIOHRMN

Heard FP message on radio

M_FPTVHRMN

Heard FP message on TV recently

M_FPNEWSHRMN

Heard FP message in newspaper/magazine

M_AIDSHEARDMN

Ever heard of HIV/AIDS

M_AIDHEALTHYMN

Thinks a healthy-looking person can have HIV

M_AIDABSTLOWRYNMN

Not having sex at all reduces HIV/AIDS risk

M_AID1PARLOWRYNMN

Having only 1 partner with no other partners reduces HIV/AIDS risk

M_AIDCONLOWRYNMN

Always using condom during sex reduces HIV/AIDS risk

M_AIDGETBITEMN

Can get HIV from mosquito bites

M_AIDGETFOODMN

Can get HIV by sharing food with a person who has AIDS

M_AGE1STSEXMN

Age at first intercourse

M_AGE1STSEXIMPMN

Age at first intercourse (imputed)

M_NOSEXSTDMN

Wife justified in refusing sex: Husband has an STI

M_STIHEARDMN

Ever heard of HIV/AIDS or Sexually Transmitted Infections (STIs)

M_STIHEARDOTHMN

Heard about other STIs

M_STIANYRMN

Had any sexually transmitted infection in last 12 months

M_STISOREYRMN

Had genital sore/ulcer in last 12 months

M_STIDISCHGYRMN

Had foul smelling genital discharge in last 12 months

M_STIPAINURYRMN

Had STI in past 12 months: Painful urination

M_STIADVICEMN

Sought advice for last STI

M_DVAGOOUTMN

Beating justified if: Wife goes out without telling husband

M_DVANEGKIDMN

Beating justified if: Wife neglects the children

M_DVAARGUEMN

Beating justified if: Wife argues with husband

M_DVAIFNOSEXMN

Beating justified if: Wife refuses to have sex with husband

M_TBEVHEARDMN

Heard of tuberculosis or TB

M_TBCURABLEMN

Believes TB can be cured

M_TBSPREDSNEZMN

TB spread by: Coughing and sneezing

M_TBSPREDUTENMN

TB spread by: Sharing utensils

M_TBSPREDTOUCHMN

TB spread by: Touching a person with TB

M_TBSPREDFOODMN

TB spread by: Food

M_TBSPREDSEXMN

TB spread by: Sexual contact

M_TBSPREDMOSQMN

TB spread by: Mosquito bites

M_TBSPREDOTHMN

TB spread by: Other

M_TBSPREDDKMN

TB spread by: Don't know

M_TOSMOKEMN

Current tobacco use: Cigarettes

M_TOPIPEMN

Current tobacco use: Pipe

M_TOCHEWMN

Current tobacco use: Chewing tobacco

M_TOSNUFFMN

Current tobacco use: Snuff

M_TOUSEOTHMN

Current tobacco use: Other

M_TONOSMOKEMN

Current tobacco use: Does not smoke

M_TOCIGDAYNOMN

Number of cigarettes in last 24 hours

M_SOIL

Soil type

M_ECOREGION

Ecoregion of household

M_CROPLAND

Proportion of land area used for agriculture (circa 2000)

M_PASTURELAND

Proportion of land area used for pastureland (circa 2000)

M_NDVI

NDVI monthly time-series

M_NDVI_60

NDVI 60 months before survey start date

M_NDVI_59

NDVI 59 months before survey start date

M_NDVI_58

NDVI 58 months before survey start date

M_NDVI_57

NDVI 57 months before survey start date

M_NDVI_56

NDVI 56 months before survey start date

M_NDVI_55

NDVI 55 months before survey start date

M_NDVI_54

NDVI 54 months before survey start date

M_NDVI_53

NDVI 53 months before survey start date

M_NDVI_52

NDVI 52 months before survey start date

M_NDVI_51

NDVI 51 months before survey start date

M_NDVI_50

NDVI 50 months before survey start date

M_NDVI_49

NDVI 49 months before survey start date

M_NDVI_48

NDVI 48 months before survey start date

M_NDVI_47

NDVI 47 months before survey start date

M_NDVI_46

NDVI 46 months before survey start date

M_NDVI_45

NDVI 45 months before survey start date

M_NDVI_44

NDVI 44 months before survey start date

M_NDVI_43

NDVI 43 months before survey start date

M_NDVI_42

NDVI 42 months before survey start date

M_NDVI_41

NDVI 41 months before survey start date

M_NDVI_40

NDVI 40 months before survey start date

M_NDVI_39

NDVI 39 months before survey start date

M_NDVI_38

NDVI 38 months before survey start date

M_NDVI_37

NDVI 37 months before survey start date

M_NDVI_36

NDVI 36 months before survey start date

M_NDVI_35

NDVI 35 months before survey start date

M_NDVI_34

NDVI 34 months before survey start date

M_NDVI_33

NDVI 33 months before survey start date

M_NDVI_32

NDVI 32 months before survey start date

M_NDVI_31

NDVI 31 months before survey start date

M_NDVI_30

NDVI 30 months before survey start date

M_NDVI_29

NDVI 29 months before survey start date

M_NDVI_28

NDVI 28 months before survey start date

M_NDVI_27

NDVI 27 months before survey start date

M_NDVI_26

NDVI 26 months before survey start date

M_NDVI_25

NDVI 25 months before survey start date

M_NDVI_24

NDVI 24 months before survey start date

M_NDVI_23

NDVI 23 months before survey start date

M_NDVI_22

NDVI 22 months before survey start date

M_NDVI_21

NDVI 21 months before survey start date

M_NDVI_20

NDVI 20 months before survey start date

M_NDVI_19

NDVI 19 months before survey start date

M_NDVI_18

NDVI 18 months before survey start date

M_NDVI_17

NDVI 17 months before survey start date

M_NDVI_16

NDVI 16 months before survey start date

M_NDVI_15

NDVI 15 months before survey start date

M_NDVI_14

NDVI 14 months before survey start date

M_NDVI_13

NDVI 13 months before survey start date

M_NDVI_12

NDVI 12 months before survey start date

M_NDVI_11

NDVI 11 months before survey start date

M_NDVI_10

NDVI 10 months before survey start date

M_NDVI_09

NDVI 9 months before survey start date

M_NDVI_08

NDVI 8 months before survey start date

M_NDVI_07

NDVI 7 months before survey start date

M_NDVI_06

NDVI 6 months before survey start date

M_NDVI_05

NDVI 5 months before survey start date

M_NDVI_04

NDVI 4 months before survey start date

M_NDVI_03

NDVI 3 months before survey start date

M_NDVI_02

NDVI 2 months before survey start date

M_NDVI_01

NDVI 1 month before survey start date

M_NDVI_00

NDVI month of survey start date

M_NDVI_A01

NDVI 1 month after survey start date

M_NDVI_A02

NDVI 2 months after survey start date

M_NDVI_A03

NDVI 3 months after survey start date

M_NDVI_A04

NDVI 4 months after survey start date

M_NDVI_A05

NDVI 5 months after survey start date

M_NDVI_A06

NDVI 6 months after survey start date

M_NDVI_A07

NDVI 7 months after survey start date

M_NDVI_A08

NDVI 8 months after survey start date

M_NDVI_A09

NDVI 9 months after survey start date

M_NDVI_A10

NDVI 10 months after survey start date

M_NDVI_A11

NDVI 11 months after survey start date

M_PRECIP

Precipitation monthly time-series

M_PRECIP_60

Precipitation 60 months before survey start date

M_PRECIP_59

Precipitation 59 months before survey start date

M_PRECIP_58

Precipitation 58 months before survey start date

M_PRECIP_57

Precipitation 57 months before survey start date

M_PRECIP_56

Precipitation 56 months before survey start date

M_PRECIP_55

Precipitation 55 months before survey start date

M_PRECIP_54

Precipitation 54 months before survey start date

M_PRECIP_53

Precipitation 53 months before survey start date

M_PRECIP_52

Precipitation 52 months before survey start date

M_PRECIP_51

Precipitation 51 months before survey start date

M_PRECIP_50

Precipitation 50 months before survey start date

M_PRECIP_49

Precipitation 49 months before survey start date

M_PRECIP_48

Precipitation 48 months before survey start date

M_PRECIP_47

Precipitation 47 months before survey start date

M_PRECIP_46

Precipitation 46 months before survey start date

M_PRECIP_45

Precipitation 45 months before survey start date

M_PRECIP_44

Precipitation 44 months before survey start date

M_PRECIP_43

Precipitation 43 months before survey start date

M_PRECIP_42

Precipitation 42 months before survey start date

M_PRECIP_41

Precipitation 41 months before survey start date

M_PRECIP_40

Precipitation 40 months before survey start date

M_PRECIP_39

Precipitation 39 months before survey start date

M_PRECIP_38

Precipitation 38 months before survey start date

M_PRECIP_37

Precipitation 37 months before survey start date

M_PRECIP_36

Precipitation 36 months before survey start date

M_PRECIP_35

Precipitation 35 months before survey start date

M_PRECIP_34

Precipitation 34 months before survey start date

M_PRECIP_33

Precipitation 33 months before survey start date

M_PRECIP_32

Precipitation 32 months before survey start date

M_PRECIP_31

Precipitation 31 months before survey start date

Total: 528

1 2 >

Back to Catalog