Home / Central Data Catalog / IPUMS / ZWE_2010_DHS_V01_M_V01_A_IPUMS
ipums

Demographic and Health Survey 2010-11

Zimbabwe, 2010 - 2011
Integrated Public Use Microdata Series (IPUMS)
Zimbabwe National Statistics Agency (ZIMSTAT) and ICF International, Minnesota Population Center
Last modified August 22, 2018 Page views 2884 Documentation in PDF Metadata DDI/XML JSON

Data file: ZWE2010-M

Household Member records
Cases 0
Variables 530

Variables

M_YEAR
Year of sample
M_DHSID
Key to link DHS clusters to context data (string)
M_PSUHH
Sample-specific primary sampling unit
M_STRATAHH
Sample-specific sampling strata
M_DOMAINHH
Sample-specific domain
M_HHNUMALL
Household number in cluster
M_CLUSTERNOALL
Sample-specific cluster number
M_ULTAREAUNITALL
Sample-specific ultimate area unit
M_HHLINENO
Line number in household
M_LINENOHHRESP
Respondent's line number (answering Household questionnaire)
M_HHWEIGHT
Household sample weight (6 decimals)
M_POPWT
Population factor weight
M_ELIGFEMNO
Number of eligible women in household
M_ELIGFEMINT
Eligibility for female interview
M_ELIGMALNO
Number of eligible men in household
M_ELIGMALEINT
Eligible for men's survey
M_HHMWEIGHT
Household weight for male subsample (6 decimals)
M_ADULTSMEASNO
Total adults eligible for measurement
M_ELIGKIDNO
Number of eligible children for height and weight
M_ELIGKIDHW
Children eligibility for height/weight and hemoglobin
M_HHEADLINENO
Line number of the head of household
M_HHEMOSELEC
Household selected for hemoglobin
M_HHINTYR
Year of interview
M_HHINTMO
Month of interview
M_HHINTDAY
Day of interview
M_HHINTCMC
Date of interview (CMC)
M_VISITNO
Number of visits by interviewer
M_HHMEMBERS
Number of household members
M_DEJURENO
Number of de jure members
M_DEFACTONO
Number of de facto members
M_KIDLT5NO
Number of children 5 and under (de jure)
M_EVMARHH
Ever-married sample
M_INTERVIEWERIDHH
Identification number of interviewer, household survey
M_URBANHH
Urban-rural status
M_GEO_ZW1994_2015
Zimbabwe regions, 1994-2015 [integrated; GIS]
M_GEO_ZW2010
Zimbabwe regions, 2010 [GIS]
M_SEX
Sex of household member
M_HHAGE
Age of household member
M_AGEIND
Corrected age from individual file
M_AGEFLAGIND
Flag for age from individual data
M_PREGNANTIND
Pregnancy status from individual file
M_HHRESIDENT
Usual resident or visitor
M_HHSLEPT
Slept last night in HH
M_HHRELATE
Relationship to household head
M_HHBIRTHCERT
Has a birth certificate
M_MOTHERALIVE
Mother alive
M_MOTHERLINENO
Mother's line number
M_FATHERALIVE
Father alive
M_FATHERLINENO
Father's line number
M_HHEADAGEHH
Age of household head (from HH record)
M_HHEADSEXHH
Sex of household head (from hh record)
M_FAMSTRUCTR
Relationship structure in HH
M_HHMARSTAT
Current marital status
M_HHCURRMARR
Currently, formerly, never married
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_SOLARPOWYN
HH has solar power
M_COOKFUEL
Type of fuel household uses for cooking
M_KITCHEN
Household has separate room for kitchen
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_DRINKWTR
Major source of drinking water
M_WTRLOCATED
HH water source located in dwelling, plot, or elsewhere
M_TIMETOWTRHH
Time to reach water source and return, in minutes (from HH record)
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_TRSOLAR
HH treats water by: Solar disinfection
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_HANDWASHPLOBS
HH has place for handwashing (observed)
M_HANDWASHBRIDGE
Household has place for handwashing (bridging variable)
M_HWSOAP
Household has soap or other cleansing agent for handwashing
M_HANDWASHSAND
Ash/mud/sand present in observed handwashing place
M_HANDWASHWTR
Water present in observed handwashing place
M_HWNOCLAGENT
No cleaning agent in observed handwashing place
M_HHPHONEHH
House has telephone (household record)
M_MOBPHONE
HH has mobile phone
M_PC
HH has personal computer
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_BOATWMOTOR
HH has boat with a motor
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_BANKACC
HH has bank account
M_AGLANDYN
HH owns land for agriculture (yes or no)
M_DRAWNCART
HH has animal-drawn cart
M_GENERATYN
HH has generator
M_WHBARROWYN
HH has wheelbarrow
M_LIVESTOCKYN
HH owns livestock
M_CATTLENUM
Number of cattle owned by HH
M_HORSEMULEYN
HH owns horses/donkeys/mules
M_HORSEMULENUM
Number of horses/donkeys/mules owned by HH
M_DONKEYYN
HH owns donkeys (yes or no)
M_DONKEYNUM
Number of donkeys owned by HH
M_HORSEYN
HH has horse
M_HORSENUM
Number of horses owned by HH
M_SHEEPYN
HH owns sheep (yes or no)
M_SHEEPNUM
Number of sheep owned by HH
M_GOATYN
HH owns goats (yes or no)
M_GOATNUM
Number of goats owned by HH
M_PIGYN
HH owns pigs (yes or no)
M_PIGNUM
Number of pigs owned by HH
M_RABBITYN
HH owns rabbits (yes or no)
M_RABBITNUM
Number of rabbits owned by HH
M_SALTEST3
Summary result of salt test for iodine
M_BEDNETHH
Household has bednet for sleeping
M_BEDNETNUM
Number of mosquito nets owned by HH
M_BEDNETKIDLT5
Children under 5 slept under bednet last night
M_BEDNETKIDS
Number of children under bednet previous night
M_BEDNETWINF
Number of mosquito nets with specific information
M_SPRAYEDYR
Dwelling sprayed again mosquitoes, last 12 months
M_SPRAYEDGOV
Dwelling sprayed by government worker or program
M_SPRAYEDPRIV
Dwelling sprayed by private company
M_SPRAYEDNGO
Dwelling sprayed by NGO
M_SPRAYEDOTH
Dwelling sprayed by other
M_SPRAYEDDK
Don't know who sprayed dwelling
M_WEALTHQHH
Household wealth index in quintiles, from HH form
M_WEALTHSHH
Wealth index factor score (5 decimals)
M_EDLEVEL
Highest education level attained
M_EDLEVYR
Highest year of education completed in level
M_EDYEARS
Education in completed years
M_EDSUMM
Educational attainment
M_SCHOOLNOW
Member attended school during current school year
M_EDLEVELNOW
Educational level during current school year
M_EDLEVYRNOW
Grade of education during current school year
M_EDYEARSNOW
Total years of education (current school year)
M_MLLINENO
Line number for malaria module
M_MLNETINDX
Mosquito bed net designation number
M_MLNETOBS
Net observed by interviewer
M_MLNETAGO
Time since obtained mosquito net (months)
M_MLNETPRETR
Net treated with insecticide when bought
M_MLNETSTATUS
Net treatment status
M_MLNETBRAND
Brand of net
M_MLNETRESINCE
Net treated with insecticide since received
M_MLNETITN
Mosquito net treated with insecticide
M_MLNETSLEPTNO
Number of persons who slept under this net
M_MLNSLEPTYPE
Type of mosquito bed net(s) person slept under last night
M_MLNETSLEPT1
Net designation number for 1st net person slept under last night
M_MLNETSLEPT2
Net designation number for 2nd net person slept under last night
M_MLNETSLEPT3
Net designation number for 3rd net person slept under last night
M_MLNETEVERTR
Person slept under an ever-treated net
M_MLNETLLIN
Person slept under a long-lasting insecticide-treated net (LLIN) the previous night
M_MLNETSLEPTA
Line number of 1st person who slept in this net
M_MLNETSLEPTB
Line number of 2nd person who slept in this net
M_MLNETSLEPTC
Line number of 3rd person who slept in this net
M_MLNETSLEPTD
Line number of 4th person who slept in this net
M_MLNETREAGO
Time since mosquito net last treated with insecticide (months)
M_TOSMKHHFREQ
Frequency hh members smoke in house
M_HWFINDEX
Index to household schedule (Female household members)
M_HWFAGE
Age in years (Female household members)
M_HWFWEIGHT
Weight in kilograms (Female household members)
M_HWFHEIGHT
Height in centimeters (Female household members)
M_HWFWHYNOTMEAS
Whether measured, and, if not, why not (Female household members)
M_HWFBIRTHCMC
Date of birth (CMC) (Female household members)
M_HWFBIRTHDATECOMP
Completeness of information: Date of birth (Female household members)
M_HWFBMI
Body mass index (BMI) (Female household members)
M_HWFROHRER
Rohrer's index (Female household members)
M_HWFHEMOCONSENT
Read consent statement - hemoglobin (Female household members)
M_HWFHEMOLEVEL
Hemoglobin level (g/dl) (Female household members)
M_HWFHEMOTEST
Whether hemoglobin level tested (Female household members)
M_HWFHEMOLEVELALT
Hemoglobin level adjusted by altitude (Female household members)
M_HWFANEMIALVL
Anemia level (Female household members)
M_CIGDAYNOFEM
Number of cigarettes in last 24 hours (Female household members)
M_HWFHIVCONSENT
Read consent statement - HIV (Female household members)
M_HWFHIVTEST
Whether blood taken for HIV test (Female household members)
M_HWFUNDER18
Under age 18 (Female household members)
M_HWFLINENOPARENT
Line number of parent/caretaker (Female household members)
M_HWFPREGNANT
Currently pregnant (Female household members)
M_HWFMARSTAT
Marital status (Female household members)
M_HWCINDEX
Index to household schedule (Members under age 5)
M_AGEMOHHLT5
Age in months (Members under age 5)
M_HWCWEIGHT
Weight in kilograms (1 decimal) (Members under age 5)
M_HWCHEIGHT
Height in centimeters (1 decimal) (Members under age 5)
M_HWCWHYNOTMEAS
Whether household member under age 5 measured, and, if not, why not
M_HWCDAYMEAS
Date measured (day) (Members under age 5)
M_HWCMONTHMEAS
Date measured (month) (Members under age 5)
M_HWCYEARMEAS
Date measured (year) (Members under age 5)
M_HWCDAYOFBIRTH
Day of birth (Members under age 5)
M_BIRTHMONTHLT5
Month of birth (Members under age 5)
M_BIRTHYEARLT5
Year of birth (Members under age 5)
M_BIRTHCMCLT5
Date of birth (CMC) (Members under age 5)
M_BIRTHDATECOMPLT5
Completeness of information: Date of birth (Members under age 5)
M_SEXHHLT5
Sex (Members under age 5)
M_HWCHAZNCHS
Height for age standard deviations from reference median (CDC standards) (Members under age 5)
M_HWCHAZWHO
Height for age standard deviations (new WHO) (Members under age 5)
M_HWCHTAPCT
Height for age percentile (CDC standards) (Members under age 5)
M_HWCHTAPCTRM
Height for age percent of reference median (CDC standards) (Members under age 5)
M_HWCWAZNCHS
Weight for age standard deviations from reference median (CDC standards) (Members under age 5)
M_HWCWAZWHO
Weight for age standard deviations (new WHO) (Members under age 5)
M_HWCWHZNCHS
Weight for height standard deviations from reference median (CDC) (Members under age 5)
M_HWCWHZWHO
Weight for height standard deviations (new WHO) (Members under age 5)
M_HWCWTAPCT
Weight for age percentile (CDC standards) (Members under age 5)
M_HWCWTAPCTRM
Weight for age percent of the reference median (CDC standards) (Members under age 5)
M_HWCWTHTPCT
Weight for height percentile (CDC standards) (Members under age 5)
M_HWCWTHTPCTRM
Weight for height percent of reference median (CDC standards) (Members under age 5)
M_HWCBMIZWHO
BMI standard deviation (new WHO) (Members under age 5)
M_LINENOPARENTHHLT5
Line number of parent/caretaker (Members under age 5)
M_HEMOCONSENTHHLT5
Read consent statement - hemoglobin (Members under age 5)
M_HEMOLEVELHHLT5
Hemoglobin level (g/dl - 1 decimal) (Members under age 5)
M_LINENOMOMHHLT5
Mother's line number (woman's questionnaire) (Members under age 5)
M_EDYRMOMLT5
Mother's highest year of education (Members under age 5)
M_HWMAGE
Age in years (Male household members)
M_HWMWEIGHT
Weight in kilograms (Male household members)
M_HWMHEIGHT
Height in centimeters (Male household members)
M_HWMWHYNOTMEAS
Whether measured, and, if not, why not (Male household members)
M_HWMBIRTHCMC
Date of birth (CMC) (Male household members)
M_HWMBIRTHDATECOMP
Completeness of information: Date of birth (Male household members)
M_HWMBMI
Body mass index (BMI) (Male household members)
M_HWMROHRER
Rohrer's index (Male household members)
M_HWMHEMOCONSENT
Read consent statement - hemoglobin (Male household members)
M_HWMHEMOLEVEL
Hemoglobin level (g/dl) (Male household members)
M_HWMHEMOTEST
Whether hemoglobin level tested (Male household members)
M_HWMHEMOLEVELALT
Hemoglobin level adjusted by altitude (Male household members)
M_HWMANEMIALVL
Anemia level (Male household members)
M_CIGDAYNOMEN
Number of cigarettes in last 24 hours (Male household members)
M_HWMHIVCONSENT
Read consent statement - HIV (Male household members)
M_HWMHIVTEST
Whether blood taken for HIV test (Male household members)
M_HWMUNDER18
Under age 18 (Male household members)
M_HWMLINENOPARENT
Line number of parent/caretaker (Male household members)
M_HWMMARSTAT
Marital status (Male household members)
M_SOIL
Soil type
M_ECOREGION
Ecoregion of household
M_LIVELIHOOD
Livelihood zone of household
M_CROPLAND
Proportion of land area used for agriculture
M_PASTURELAND
Proportion of land area used for pastureland
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_NDVI_AVG
Average monthly NDVI (January - December)
M_NDVI_JAN
Average January NDVI
M_NDVI_FEB
Average February NDVI
M_NDVI_MAR
Average March NDVI
M_NDVI_APR
Average April NDVI
M_NDVI_MAY
Average May NDVI
M_NDVI_JUN
Average June NDVI
M_NDVI_JUL
Average July NDVI
M_NDVI_AUG
Average August NDVI
M_NDVI_SEP
Average September NDVI
M_NDVI_OCT
Average October NDVI
M_NDVI_NOV
Average November NDVI
M_NDVI_DEC
Average December NDVI
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
M_PRECIP_30
Precipitation 30 months before survey start date
M_PRECIP_29
Precipitation 29 months before survey start date
M_PRECIP_28
Precipitation 28 months before survey start date
M_PRECIP_27
Precipitation 27 months before survey start date
M_PRECIP_26
Precipitation 26 months before survey start date
M_PRECIP_25
Precipitation 25 months before survey start date
M_PRECIP_24
Precipitation 24 months before survey start date
M_PRECIP_23
Precipitation 23 months before survey start date
M_PRECIP_22
Precipitation 22 months before survey start date
M_PRECIP_21
Precipitation 21 months before survey start date
M_PRECIP_20
Precipitation 20 months before survey start date
M_PRECIP_19
Precipitation 19 months before survey start date
M_PRECIP_18
Precipitation 18 months before survey start date
M_PRECIP_17
Precipitation 17 months before survey start date
M_PRECIP_16
Precipitation 16 months before survey start date
M_PRECIP_15
Precipitation 15 months before survey start date
M_PRECIP_14
Precipitation 14 months before survey start date
M_PRECIP_13
Precipitation 13 months before survey start date
M_PRECIP_12
Precipitation 12 months before survey start date
M_PRECIP_11
Precipitation 11 months before survey start date
M_PRECIP_10
Precipitation 10 months before survey start date
M_PRECIP_09
Precipitation 9 months before survey start date
M_PRECIP_08
Precipitation 8 months before survey start date
M_PRECIP_07
Precipitation 7 months before survey start date
M_PRECIP_06
Precipitation 6 months before survey start date
M_PRECIP_05
Precipitation 5 months before survey start date
M_PRECIP_04
Precipitation 4 months before survey start date
M_PRECIP_03
Precipitation 3 months before survey start date
M_PRECIP_02
Precipitation 2 months before survey start date
M_PRECIP_01
Precipitation 1 month before survey start date
M_PRECIP_00
Precipitation month of survey start date
M_PRECIP_A01
Precipitation 1 month after survey start date
M_PRECIP_A02
Precipitation 2 months after survey start date
M_PRECIP_A03
Precipitation 3 months after survey start date
M_PRECIP_A04
Precipitation 4 months after survey start date
M_PRECIP_A05
Precipitation 5 months after survey start date
M_PRECIP_A06
Precipitation 6 months after survey start date
M_PRECIP_A07
Precipitation 7 months after survey start date
M_PRECIP_A08
Precipitation 8 months after survey start date
M_PRECIP_A09
Precipitation 9 months after survey start date
M_PRECIP_A10
Precipitation 10 months after survey start date
M_PRECIP_A11
Precipitation 11 months after survey start date
M_PRECIP_AVG
Average monthly precipitation (January - December)
M_PRECIP_JAN
Average January precipitation
M_PRECIP_FEB
Average February precipitation
M_PRECIP_MAR
Average March precipitation
M_PRECIP_APR
Average April precipitation
M_PRECIP_MAY
Average May precipitation
M_PRECIP_JUN
Average June precipitation
M_PRECIP_JUL
Average July precipitation
M_PRECIP_AUG
Average August precipitation
M_PRECIP_SEP
Average September precipitation
M_PRECIP_OCT
Average October precipitation
M_PRECIP_NOV
Average November precipitation
M_PRECIP_DEC
Average December precipitation
M_PRECIP_ANNUAL
Average Annual precipitation
M_POPDENSITY
Population density quinquennial time-series (2000-2020)
M_POPDENSITY_2000
Population density 2000
M_POPDENSITY_2005
Population density 2005
M_POPDENSITY_2010
Population density 2010
M_POPDENSITY_2015
Population density 2015
M_POPDENSITY_2020
Population density 2020
M_BATTLES
Battles annual time-series
M_BATTLES_1997
Number of battles in 1997
M_BATTLES_1998
Number of battles in 1998
M_BATTLES_1999
Number of battles in 1999
M_BATTLES_2000
Number of battles in 2000
M_BATTLES_2001
Number of battles in 2001
M_BATTLES_2002
Number of battles in 2002
M_BATTLES_2003
Number of battles in 2003
M_BATTLES_2004
Number of battles in 2004
M_BATTLES_2005
Number of battles in 2005
M_BATTLES_2006
Number of battles in 2006
M_BATTLES_2007
Number of battles in 2007
M_BATTLES_2008
Number of battles in 2008
M_BATTLES_2009
Number of battles in 2009
M_BATTLES_2010
Number of battles in 2010
M_BATTLES_2011
Number of battles in 2011
M_BATTLES_2012
Number of battles in 2012
M_BATTLES_2013
Number of battles in 2013
M_BATTLES_2014
Number of battles in 2014
M_BATTLES_2015
Number of battles in 2015
M_BATTLES_2016
Number of battles in 2016
M_RIOTS
Riots annual time-series
M_RIOTS_1997
Number of riots in 1997
M_RIOTS_1998
Number of riots in 1998
M_RIOTS_1999
Number of riots in 1999
M_RIOTS_2000
Number of riots in 2000
M_RIOTS_2001
Number of riots in 2001
M_RIOTS_2002
Number of riots in 2002
M_RIOTS_2003
Number of riots in 2003
M_RIOTS_2004
Number of riots in 2004
M_RIOTS_2005
Number of riots in 2005
M_RIOTS_2006
Number of riots in 2006
M_RIOTS_2007
Number of riots in 2007
M_RIOTS_2008
Number of riots in 2008
M_RIOTS_2009
Number of riots in 2009
M_RIOTS_2010
Number of riots in 2010
M_RIOTS_2011
Number of riots in 2011
M_RIOTS_2012
Number of riots in 2012
M_RIOTS_2013
Number of riots in 2013
M_RIOTS_2014
Number of riots in 2014
M_RIOTS_2015
Number of riots in 2015
M_RIOTS_2016
Number of riots in 2016
M_CIV_VIOLENCE
Violence against civilians annual time-series
M_CIV_VIOLENCE_1997
Number of acts of violence against civilians in 1997
M_CIV_VIOLENCE_1998
Number of acts of violence against civilians in 1998
M_CIV_VIOLENCE_1999
Number of acts of violence against civilians in 1999
M_CIV_VIOLENCE_2000
Number of acts of violence against civilians in 2000
M_CIV_VIOLENCE_2001
Number of acts of violence against civilians in 2001
M_CIV_VIOLENCE_2002
Number of acts of violence against civilians in 2002
M_CIV_VIOLENCE_2003
Number of acts of violence against civilians in 2003
M_CIV_VIOLENCE_2004
Number of acts of violence against civilians in 2004
M_CIV_VIOLENCE_2005
Number of acts of violence against civilians in 2005
M_CIV_VIOLENCE_2006
Number of acts of violence against civilians in 2006
M_CIV_VIOLENCE_2007
Number of acts of violence against civilians in 2007
M_CIV_VIOLENCE_2008
Number of acts of violence against civilians in 2008
M_CIV_VIOLENCE_2009
Number of acts of violence against civilians in 2009
M_CIV_VIOLENCE_2010
Number of acts of violence against civilians in 2010
M_CIV_VIOLENCE_2011
Number of acts of violence against civilians in 2011
M_CIV_VIOLENCE_2012
Number of acts of violence against civilians in 2012
M_CIV_VIOLENCE_2013
Number of acts of violence against civilians in 2013
M_CIV_VIOLENCE_2014
Number of acts of violence against civilians in 2014
M_CIV_VIOLENCE_2015
Number of acts of violence against civilians in 2015
M_CIV_VIOLENCE_2016
Number of acts of violence against civilians in 2016
M_MALARIA
Malaria incidence rate annual time-series
M_MALARIA_2000
Malaria incidence rate in 2000
M_MALARIA_2001
Malaria incidence rate in 2001
M_MALARIA_2002
Malaria incidence rate in 2002
M_MALARIA_2003
Malaria incidence rate in 2003
M_MALARIA_2004
Malaria incidence rate in 2004
M_MALARIA_2005
Malaria incidence rate in 2005
M_MALARIA_2006
Malaria incidence rate in 2006
M_MALARIA_2007
Malaria incidence rate in 2007
M_MALARIA_2008
Malaria incidence rate in 2008
M_MALARIA_2009
Malaria incidence rate in 2009
M_MALARIA_2010
Malaria incidence rate in 2010
M_MALARIA_2011
Malaria incidence rate in 2011
M_MALARIA_2012
Malaria incidence rate in 2012
M_MALARIA_2013
Malaria incidence rate in 2013
M_MALARIA_2014
Malaria incidence rate in 2014
M_MALARIA_2015
Malaria incidence rate in 2015
M_BARLEY_H
Harvested area barley
M_CASSAVA_H
Harvested area cassava
M_COTTON_H
Harvested area cotton
M_GROUNDNUT_H
Harvested area groundnut
M_MAIZE_H
Harvested area maize
M_MILLET_H
Harvested area millet
M_OILPALM_H
Harvested area oilpalm
M_POTATO_H
Harvested area potato
M_RAPESEED_H
Harvested area rapeseed
M_RICE_H
Harvested area rice
M_SORGHUM_H
Harvested area sorghum
M_SOYBEAN_H
Harvested area soybean
M_SUGARBEET_H
Harvested area sugarbeet
M_SUGARCANE_H
Harvested area sugarcane
M_SUNFLOWER_H
Harvested area sunflower
M_WHEAT_H
Harvested area wheat
M_RYE_H
Harvested area rye
M_BARLEY_P
Total barley production
M_CASSAVA_P
Total cassava production
M_COTTON_P
Total cotton production
M_GROUNDNUT_P
Total groundnut production
M_MAIZE_P
Total maize production
M_MILLET_P
Total millet production
M_OILPALM_P
Total oilpalm production
M_POTATO_P
Total potato production
M_RAPESEED_P
Total rapeseed production
M_RICE_P
Total rice production
M_SORGHUM_P
Total sorghum production
M_SOYBEAN_P
Total soybean production
M_SUGARBEET_P
Total sugarbeet production
M_SUGARCANE_P
Total sugarcane production
M_SUNFLOWER_P
Total sunflower production
M_WHEAT_P
Total wheat production
M_RYE_P
Total rye production
Total: 530