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Demographic and Health Survey 2007 - IPUMS Subset

Bangladesh, 2007
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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
Collection(s)
Integrated Public Use Microdata Series (IPUMS)
Metadata
Documentation in PDF DDI/XML JSON
Created on
Aug 15, 2018
Last modified
May 14, 2020
Page views
186479
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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
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