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2020 2019 2018

March 30, 2020

    Added data: new samples.

    • Thirteen new service delivery point surveys from Burkina Faso, Democratic Republic of Congo, India, Kenya, Ghana, Niger, Nigeria, Cote d'Ivoire, Ethiopia, and Uganda have been added to the online dissemination system. Four new household and female surveys from Burkina Faso, Democratic Republic of Congo, and Kenya have also been added.
    • The Nutrition module data from Burkina Faso and Kenya are now available! See more information about this sample on our sample notes page. You can access these data by choosing the Nutrition-Person or Nutrition-Service Delivery Point units of analysis in the online data dissemination system.

    Modified data: Changed variable names.

    • In the female health insurance group, changed INSURBPJS to FPINSBPJS, INSURJAMKESDA to FPINSJAMK, INSURPRIVATE to FPINSPRIV, and INSUROTHER to FPINSOTH.
    • The variable FERTPREF was renamed to FERTPREFNPREG because the universe was women who were not pregnant at the time of the interview to be consistent with a related variable called FERTPREFPREG, which has a universe of only pregnant women. A new variable, FERTPREF, was created that combines both FERTPREFNPREG and FERTPREFPREG so that it contains comparable responses for all women surveyed using the female questionnaires. The same change was made to PREFTIMECH, PREFTIMECHNPREG, and PREFTIMECHPREG.
    • The variable ANTESERPROV was renamed to ANCPROV to better match with other ANC variables.
    • The variable series about family planning methods offered by community health extension workers were changed from a variable prefix of FPCHW to CHEW. For example, FPCHWPILL is now CHEWPILL.
    • The variable series about community health worker activities supported by the service delivery point were renamed. The previous names were: CHOACT, CHOANC, CHODOT, CHOENR, CHOFPC, CHOFPP, CHOHED, CHOICCM, CHOIMM, CHOMHC, CHOMOB, CHONCD, CHOOTHER, CHOOUT, CHOPNC, CHOSUR, and CHOWASH. They are now CHWOUTACT, CHWOUTANC, CHWOUTDOT, CHWOUTENR, CHWOUTFPC, CHWOUTFPP, CHWOUTHED, CHWOUTICCM, CHWOUTVAX, CHWOUTMHC, CHWOUTMOB, CHWOUTNCD, CHWOUTOTH, CHWOUTOUT, CHWOUTPNC, CHWOUTSURV, and CHWOUTWASH, respectively.

    Edited Variables.

    • In variables LANGUAGEHQ and LANGUAGESQ, cases that had originally been assigned to Swahili (code 1901) were reassigned to Kiswahili (code 1102), after it came to our attention that Swahili is a cultural group and Kiswahili is the language spoken by that group.

    Added data: new variables.

    • A new variable, FPUSPLAN, has been created by combining FPUSPLAN_NPREG and FPUSPLAN_PREG. These two variables separate non-pregnant and pregnant respondents for the same question. The new variable now contains responses for all women who answered this question in the survey.

    Modified data: Combined variables.

    • The variable CLUSTERNG was combined with EAID, because for all samples, EAID or CLUSTERNG were the primary sampling unit, and it was not necessary to keep the Nigerian clusters of enumerations areas separate from other samples. The same was done for variables in the Service Delivery point unit of analysis regarding areas the facility serves (EASERVED1-EASERVED32, EASERVED1WT-EASERVED32WT, and EASERVED1UR-EASERVED32UR).

    Added data: new variable availability.

    • The variables WEALTHQ and WEALTHT are now available for all Household and Female samples. Previously, only WEALTHT was available for Burkina Faso and Niger samples, and WEALTHQ was available for all other samples. IPUMS calculated tertiles and quintiles using SCORE and HQWEIGHT.

    Modified data: Changed codes.

    • In samples India 2017 Round 3 and Ghana 2016 Round 5, non-interviewed household records originally had LINENO of 1, but have been corrected to be 0.
    • The codes in TIMETOWATERDRYVAL for Not interviewed, Don't know, No response or missing, or not in universe were 2 digits long and between 95 and 99. However, values between 95 and 99 could be potential answers for how long water collection takes, so they have been increased to 3 digits, between 995 and 999 to match TIMETOWATERWETVAL.
    • The coding scheme for the variable CHEWCON has been changed to agree with similar variables, such as CHEWINJ. Previously, 0 was "no method provided", 1 was "No", and 2 was "Yes".
    • All livestock variables in the Agricultural Possessions variable group were recoded so that the missing codes (not in universe, don't know, etc) are all 5 digits long (99999, 99997, etc). Previously, the missing codes were of different lengths depending on the highest valid value in each variable.

    Modified data.

    • In the Service Delivery Point Ghana 2016 Round 5 sample, the variable HLTHRECPAPERF had one case that was originally coded as 2 "Not applicable". An additional variable was discovered that showed that this facility did have paper records, and is now coded as 1 "Yes".
    • In the Burkina Faso 2016 sample, TOILETCLASS did not distinguish improved from unimproved sanitation facilities in the original data. IPUMS used other variables to reconstruct this variable to distinguish improved, shared, and unimproved facilities.

September 3, 2019

    Edited Variables.

    • An error was found and corrected in the variable SAMPLE. The household and female samples Nigeria 2017 (Oyo) and 2018 were mistakenly coded as being Nigeria 2017 (National).

August 6, 2019

    Added data: new samples.

    • Thirteen new household and female surveys from Burkina Faso, Democratic Republic of Congo, India, Kenya, Ghana, Niger, Nigeria, Cote d'Ivoire, Ethiopia, and Uganda have been added to the online dissemination system. From these samples, there are almost 600 new variables.
    • The Maternal and Newborn Health module data from Ethiopia 2016-2017 is now available! See more information about this sample on our sample notes page. You can access these data by choosing the Infant unit of analysis in the online data dissemination system.

    Edited Variables.

    • The coding scheme for RELIGION has been adjusted to fit in new response categories.
    • Codes for BIRTHUR have been changed to match URBAN, so that 0 is Rural. Previously, 2 was Rural. The codes for LASTUR have also been changed. Rural is now 0 (from 3), Town is now 1, (from 2), and City is now 2 (from 1), also to be more consistent with URBAN.
    • The coding scheme for FPPROVIDER, LAMLEARN, and RHYTHMLEARN has been adjusted to fit in new response categories.
    • The coding scheme for MHPLACE has been adjusted to fit in new response categories.
    • The coding scheme for FPIMPREMOVEYR has been adjusted to fit in new response categories.
    • The coding scheme for variables RATEQUAL, RATECLEAN, and RATERESPECT have been adjusted so that the Likert scale goes from poor (1) to excellent (5). Previously, the scale was excellent (1) to poor (5).
    • The coding scheme for RATETRUST1 has been adjusted to that the Likert scale goes from strongly disagree (1) to strongly agree (4). Previously, the scale was strongly agree (1) to strongly disagree (4).
    • The variable INSTYPEGH has been disaggregated and merged with INSNAT, INSEMP, INSMUTUAL, INSOTH, and INSOTHPRIV.
    • An error was corrected in STRATA for Ghana samples from 2013-2016. Cases that had been coded as 28800 have been corrected to 28801, and cases that had been coded as 28801 have been corrected to 28802.
    • For the Ethiopia 2017 Round 5 sample, all in-universe cases for the variables FPSTOPMO and FPSTOPYR were originally coded as missing in the original data, and are now corrected.

    Modified data: Changed variable names.

February 12, 2019

    New Feature.

    • We have now added the survey text tab for most variables. This allows you to easily access survey question wording for each variable and compare across samples.

    Added data: new samples.

    • There are now 8 new service delivery point samples from Burkina Faso, Cote d'Ivoire, Democratic Republic of the Congo, Ethiopia, Kenya, Niger, and India.

    Sample Note.

    • In the SDP samples of the Democratic Republic of the Congo 2017 Round 6, the survey software had an error that affected skip patterns in the survey. In previous rounds, hospitals, health clinics, and health posts were considered advanced facilities, but they were accidentally not included in advanced facilities for this sample. Questions meant for advanced facilities were not asked of hospitals, health clinics, and health posts.

    Edited Variables.

    • Due to a re-release of the Burkina Faso 2015 Round 2 Household and Female sample by PMA2020, the variables CAR, WEALTHT, and SCORE have updated values for some cases. The variable TOILETTYPES is now unavailable for this sample.
    • An error was found and corrected in HIVFPOTH and HIVVISFPOTH. HIVFPOTH and HIVVISFPOTH were combined into HIVFPOTH (family planning methods other than condoms are provided to clients who come in for HIV services), and some samples were split into HIVFPPROV (family planning methods are provided to clients who come in for HIV services). These different questions were mistakenly combined into the same variable HIVFPOTH.
    • An error was found and corrected in FPIMPREMOVE. For samples Ethiopia 2017 Round 5 and Kenya 2016 Round 5, this variable should have been FPIMPREMOVEYR. because the respondents were given a reference period of 12 months.
    • In the Democratic Republic of the Congo 2014 Round 2 Kinshasa sample, the variable FJOUT6MO, which previously had 257 cases of "No" responses, has been removed from this sample. All 257 cases should be NIU, because no facilities provided jelly or foam in that sample.
    • In the Ethiopia 2014 Round 1 SDP sample, DOCTORPRES was coded as -77 for 13 cases that should have been zero. This issue has been fixed.

    Added data: new variable availability.

    • The variables IDEALKIDNUM and PREFERKIDNUM have been added to the Indonesia 2016 Round 2 Household and Female sample.
    • The variable PREFTIMECHMONTH is now available in Cote d'Ivoire 2017, Ethiopia 2017, Niger 2017, Nigeria 2017, India 2017, and Indonesia 2016 samples.

    Added data: new variables.

    • The variable IDEALBIRTHWAITVAL has been added to the Indonesia 2016 Round 2 Household and Female sample.

November 2, 2018

    Added data: new variable availability.

    • WEALTHQ is now available for the Nigeria 2016 Round 3 and Nigeria 2017 Round 4 samples.

October 15, 2018

    Added data: New samples.

    • Service delivery point files are now available! Users can choose from 41 samples of service delivery point (SDP) data and more than 800 variables. In the extract system, choose service delivery point as the unit of analysis.
    • There are now 8 new household and female samples from Cote d'Ivoire, Ethiopia, Nigeria, Niger, India, Indonesia, and Uganda. More than 110 new variables are available in the 8 new household and female samples.

    Edited Variables.

    • Due to the addition of new response categories, codes for LIVEINREGION have been modified.
    • To accommodate larger response values, variables LOCALCATTLEHOME and LOCALCATTLENUM have expanded to 5 digits. NIU and other missing codes have changed to reflect this.
    • In Water Use variables, cases that were originally coded as 95 were corrected to be 96.
    • Cases of 99999 in SCORE were recoded to 99998 because they were missing, not out of universe.
    • In the variables FPINSBPJS, FPINSJAMK, FPINSPRIV, and FPINSOTH in the Indonesia 2015 Round 1 sample, cases of "No" were disaggregated into "NIU (not in universe)", "No", and "Services covered by insurance not listed".
    • An error was discovered in the variable CAR for the Burkina Faso 2015 Round 2 sample, in the original data. Too many households were recorded as owning a car. This error has been corrected with this release.
    • Cases of 95 (Not interviewed - female questionnaire) were corrected to 96 (Not interviewed - household questionnaire).

    Added data: new variable availability.

    • The variable POPWT has been added to samples Kenya 2016 Round 5, Ghana 2016 Round 5, and Nigeria 2016 Round 4, in addition to the new samples released today.

May 15, 2018

    Added data: new variables.

    • Variables from the Primary Health Care module in Ghana 2016 Round 5 are now available.
    • More than 70 new variables have been added to samples Niger 2016 Round 3, Kenya 2016 Round 5, and Ghana 2016 Round 5 on various topics, including challenges obtaining family planning (ie. CHALCOST), perceptions of and communications about family planning use (ie. FPPRONATGOV) and other topics.
    • KID6DOBCMC and KID7DOBCMC are now available.

    Edited Variables.

    • An error was found and corrected in SCORE, FQWEIGHT, and HQWEIGHT for the Democratic Republic of the Congo 2015 Round 3.

    Added data: new variable availability.

    • Added Kenya Round 5 to HORSEHOME and HORSENUM. Updated comparability to indicated that this sample asked about horses, donkeys, or camels.
    • The variables for children's birth date in century month code (for example, KID1DOBCMC) for the 5 youngest children under 5 are now available for additional samples.
    • The variables INTFQYEAR and INTFQMON are now available for the Democratic Republic of Congo 2013 Round 1.

    Modified data: Changed variable names.

    Modified data: Changed codes.

    • Changed SAMPLE, SUBNATIONAL, STRATA to use ISO 3-digit codes for each country instead of 1 through 10.
    • In TIMEMENSTRUATEVAL, enumerators were instructed to code the total number of months or years since the woman's last menstrual period. However, in some samples, a select number of enumerators recorded specific years, e.g. 2005. We believe these cases were intended to represent the year in which the woman's last menstrual cycle occurred. IPUMS-PMA previously recoded these cases to "Logical edit - missing." These cases now have been recoded by subtracting the recorded response from the year of the interview to estimate when the woman's last menstrual cycle occurred. The universe for this variable was also changed for all samples. It previously read as "Women aged 15-49," and has now been updated to "Women aged 15-49 except those who are menopausal, whose last period was before their last birth, or who have never married." The width of this variable was also updated to 5, after previously having a width of 4.
    • In PREFTIMECHVAL, enumerators were instructed to code the total number of months or years the woman would like to wait until a/another birth. However, in some samples, a select number of enumerators recorded specific years, e.g. 2017. We believe these cases were intended to represent the year in which the woman's would prefer to have a/another birth. IPUMS-PMA previously recoded these cases to "Logical edit - missing." These cases now have been recoded by subtracting the year of the interview from the recorded response to estimate the time the woman would like to wait until a/another birth.
    • In certain samples, women who did not consent to the female questionnaire, CHEB were coded as "0 - No children." These cases have been recoded as "95 - Not interviewed (female questionnaire)." Additionally, in some samples women who have never given birth were coded as "99 - NIU (not in universe)." These cases have been recoded as "0 - No children."
    • A select number of codes were changed in FPPROVIDER to a more intuitive organization.

    Modified data: Changed variable labels.

    • Changed labels for variables pertaining to the disposal of young children's fecal waste Child Health group page to increase consistency across variables.