The DHS Program User Forum

Today's Messages (off) | Unanswered Messages (on)

Topic: HR Files

Wed, 24 April 2024 11:36

Lubana
Messages: 2
Registered: January 2024

Member

Hello,

I am a new DHS data user and I am not familiar with programming languages. Therefore, for my analysis, I am using ArcGIS Pro. My apologies for any inconvenience this may cause.

I am conducting a social vulnerability assessment to climate change impacts using DHS data for Kenya. I am encountering some difficulties in calculating DHS indicators. The following DHS datasets are being utilized for the analysis: KEHR8BSD.zip, KEGC8AFL.zip, and sdr_subnational_boundaries.shp.

I attempted to calculate the percentage of various indicators, such as the percentage of female-headed households (HHs), households with a population aged 65 and over, households with a population aged 13 to 18 years, literate households, households with access to improved water and sanitation, and the wealth index.

It's worth noting that the Humanitarian Data Exchange (HDE) contains the percentage of a range of demographic and socioeconomic indicators at the subnational administrative level 1 for Kenya, derived from DHS 2022 data.

However, upon completing the calculations, I noticed discrepancies between the results obtained from GIS analysis and the percentages provided on the HDE website. I am unsure why these differences exist. I did not apply any weight to my dataset because the process was confusing to me. Despite watching videos and reading resources from the DHS website, I still lack clarity on this matter.

Therefore, I have several questions:

--Why am I getting different results?
--Do I need to apply weight to calculate the percentage of households with access to improved water and sanitation?
--If weight application is necessary, how can I accomplish this in GIS software?

I would greatly appreciate your assistance with this matter. I have attached a document outlining the steps I followed to join DHS Census Data with DHS Spatial Data, aggregate at the subnational administrative level 1, and calculate two indicators as examples (i.e., the percentage of households with access to improved water and the percentage of households with access to improved sanitation). This document also includes results obtained from ArcGIS Pro and the HDE website. I have also attached excel files data downloaded from HDE website for the year 2022 for your convenience.

Any help will be highly appreciated. I need it urgently. Please let me know if you need any other clarification.

Thank you.

Attachment: Results.xlsx
(Size: 14.19KB, Downloaded 1 time)
Attachment: Spatial join and calculation steps.docx
(Size: 29.25KB, Downloaded 1 time)
Attachment: Toilet Facility_subnational Ken_2022_HDE.xlsx
(Size: 225.71KB, Downloaded 1 time)
Attachment: Water_Subnational_Kenya_2022_HDE.xlsx
(Size: 227.61KB, Downloaded 1 time)

Report message to a moderator

Forum: IPUMS Demographic and Health Surveys (IPUMS-DHS)

Topic: Haz for adult men (hwmhtasdrm)

Haz for adult men (hwmhtasdrm) [message #29101]

Tue, 23 April 2024 23:40

archanapkar
Messages: 4
Registered: April 2024

Member

I am looking at the hwmhtasdrm IPUMS variable for adult men from the household recode for India for NFHS 3 and 4 and the corresponding DHS variable HB5 for NFHS 5. The means for this variable acorss the three rounds look very different and although for IPUMS the instruction is to divide the raw variable by 100, but even so they differ by an order of magnitude. Please explain how to use this variable.

The corresponding variables for women looks fine (hwfhtasdrm and ha5) and if we divide it by 100, we would get plausible values.

. tabstat hwmhtasdrm if hwmhtasdrm<600,by(year)
tabstat hwmhtasdrm if hwmhtasdrm<600,by(year)

Summary for variables: hwmhtasdrm
by categories of: year (Year of sample)

year | mean
-------+----------
2005 | -182.7139
2015 | -1.86
2020 | -14.82283
-------+----------
Total | -52.37074
------------------

. tabstat hwfhtasdrm if hwfhtasdrm<600,by(year)
tabstat hwfhtasdrm if hwfhtasdrm<600,by(year)

Summary for variables: hwfhtasdrm
by categories of: year (Year of sample)

year | mean
-------+----------
2005 | -190.0461
2015 | -192.1819
2020 | -191.351
-------+----------
Total | -191.6272
------------------

Report message to a moderator

Forum: Domestic Violence

Topic: Intimate Partner Violence

Intimate Partner Violence [message #29061]

Thu, 18 April 2024 10:26

Vincent Odhiambo
Messages: 4
Registered: October 2023

Member

Good morning. I am interested in coming up with one composite variable from Tanzania demographic and health survey using TZIR82DT 2022 dataset. Kindly help with the set of variables that would describe economic abuse/violence and the syntax. Thank you in advance

Report message to a moderator

Forum: Other countries

Topic: Senegal DHS Surveys IR Files - Insurance Coverage Variables

Senegal DHS Surveys IR Files - Insurance Coverage Variables [message #29083]

Mon, 22 April 2024 11:28

ibrahimadieye
Messages: 1
Registered: April 2024

Member

In the Senegal IR datasets, I have noticed that variables capturing insurance coverage (v481, v481a, etc.) are unpopulated for several years (e.g., 2013-2015, 2017-2019). However, they are referenced in official DHS reports for these years and are populated in the datasets for other years (e.g., 2010/2011, 2016). This discrepancy suggests a potential issue with the dataset generation, unless if I'm missing something. I have checked the other files (BR, HR, etc.), and this information is also not included there. Could someone help?

Thank you in advance!

Report message to a moderator

Current Time: Wed Apr 24 14:47:26 Coordinated Universal Time 2024