Feed The Future Zambia Baseline Population Based Survey: Women's File
datahub.usaid.gov | Last Updated 7 Jun 2024The Zambia Population-Based Survey (PBS) provides a comprehensive assessment of the current status of agriculture and food security in five districts — Chipata, Katete, Lundazi, Nyimba, and Petauke in Zambia. This dataset contains responses from women surveyed.
This dataset has the following 70 columns:
| Column Name | API Column Name | Data Type | Description | Sample Values |
|---|---|---|---|---|
| a09 | a09 | number | 1 2 3 4 view top 100 | |
| a21 | a21 | number | Final outcome of interview | 1 view top 100 |
| pbs_id | pbs_id | number | Unique household ID | 482 735 77 1257 924 view top 100 |
| country | country | text | Country recorded in module G | Zambia view top 100 |
| d01 | d01 | number | Roof top material (outer covering) | 5.0 3.0 4.0 6.0 1.0 view top 100 |
| d02 | d02 | number | Floor material | 1.0 2.0 3.0 view top 100 |
| d03 | d03 | number | Exterior Walls | 1.0 3.0 2.0 6.0 4.0 view top 100 |
| d04 | d04 | number | How many rooms are there in this dwelling? (Do not count bathrooms, hallways, garage, toilet, cellar, kitchen) | 2.0 3.0 1.0 4.0 5.0 view top 100 |
| d05 | d05 | number | What is the main type of toilets your household uses? | 4.0 7.0 5.0 3.0 8.0 view top 100 |
| d06 | d06 | number | What is the main source of drinking water for your household? | 4.0 8.0 5.0 9.0 3.0 view top 100 |
| d07 | d07 | number | Does this household have electricity? | 2.0 1.0 99.0 view top 100 |
| d08 | d08 | number | What is the main source of cooking fuel for your household? | 5.0 4.0 1.0 8.0 view top 100 |
| modd_missing | modd_missing | number | Missing all elements from module D | 0 1 view top 100 |
| f01 | f01 | number | In the past 4 weeks 30 days was there ever no food to eat of any kind in your house because of lack of resources to get food? | 2.0 1.0 view top 100 |
| f03 | f03 | number | In the past 4 weeks 30 days did you or any household member go to sleep at night hungry because there was not enough food? | 2.0 1.0 view top 100 |
| f05 | f05 | number | In the past 4 weeks 30 days did you or any household member go a whole day and night without eating anything at all because there was not enough food? | 2.0 1.0 99.0 view top 100 |
| f02 | f02 | number | How often did this happen in the past 4 weeks 30 days ? | 1.0 2.0 3.0 view top 100 |
| f04 | f04 | number | How often did this happen in the past 4 weeks 30 days ? | 1.0 2.0 3.0 view top 100 |
| f06 | f06 | number | How often did this happen in the past 4 weeks 30 days ? | 1.0 2.0 3.0 99.0 view top 100 |
| modf_missing | modf_missing | number | Missing all elements from module F | 0 1 view top 100 |
| a02 | a02 | number | Household listing number | 3049 3052 3015 3037 3048 view top 100 |
| a05 | a05 | number | Sex of respondent | 1 3 2 4 5 view top 100 |
| a06 | a06 | text | Type of household | view top 100 |
| c02 | c02 | number | What is NAME s sex? | 2 view top 100 |
| c03 | c03 | number | What is NAME s relationship to the primary respondent? | 2 1 3 4 5 view top 100 |
| c04 | c04 | number | What is NAME s age? (in years) | 15 16 20 17 22 view top 100 |
| h03 | h03 | number | Please tell me how old you are. What was your age at your last birthday? RECORD AGE IN COMPLETED YEARS | 18 21 27 30 24 view top 100 |
| h06 | h06 | number | Are you currently pregnant? | 2.0 1.0 9.0 view top 100 |
| h07 | h07 | number | WEIGHT IN KILOGRAMS | 999.0 50.0 50.5 51.2 55.1 view top 100 |
| h08 | h08 | number | HEIGHT IN CENTIMETERS | 155.0 156.0 158.0 153.0 157.0 view top 100 |
| h14 | h14 | number | Food made from grains, such as bread, rice, noodles, porridge, or other local grain food | 1.0 2.0 9.0 view top 100 |
| h15 | h15 | number | Pumpkin, carrots, squash, or sweet potatoes that are yellow or orange inside or other local yellow orange foods | 2.0 1.0 9.0 view top 100 |
| h16 | h16 | number | White potatoes, white yams, manioc, cassava, other local root crops or any other foods made from roots | 2.0 1.0 9.0 view top 100 |
| h17 | h17 | number | Any dark green leafy vegetables such as local dark green leafy vegetables | 1.0 2.0 9.0 view top 100 |
| h18 | h18 | number | Ripe mangoes, ripe papayas or other local vitamin A-rich fruits | 1.0 2.0 9.0 99.0 view top 100 |
| h19 | h19 | number | Any other fruits or vegetables | 2.0 1.0 9.0 view top 100 |
| h20 | h20 | number | Liver, kidney, heart, or other organ meats | 2.0 1.0 9.0 view top 100 |
| h21 | h21 | number | Any meat, such as beef, pork, lamb, goat, chicken, or duck | 2.0 1.0 9.0 view top 100 |
| h22 | h22 | number | Eggs | 2.0 1.0 9.0 view top 100 |
| h23 | h23 | number | Fresh or dried fish, shellfish, or seafood | 2.0 1.0 9.0 view top 100 |
| h24 | h24 | number | Any foods made from beans, peas, lentils, nuts, or seeds add any local names | 2.0 1.0 9.0 99.0 view top 100 |
| h24x | h24x | text | NOT ASKED IN THIS SURVEY | view top 100 |
| h25 | h25 | number | Cheese, yogurt, or other milk products | 2.0 1.0 9.0 99.0 view top 100 |
| h26 | h26 | number | Any oil, fats, or butter, or foods made with any of these | 1.0 2.0 9.0 view top 100 |
| h27 | h27 | number | Any sugary foods such as chocolates, sweets, candies, pastries, cakes, or biscuits | 2.0 1.0 9.0 view top 100 |
| h28 | h28 | number | Condiments for flavor, such as chilies, spices, herbs, or fish powder | 2.0 1.0 9.0 view top 100 |
| h29 | h29 | number | Grubs, snails, or insects | 2.0 1.0 9.0 99.0 view top 100 |
| h30 | h30 | number | Foods made with red palm oil, red palm nut, or red palm nut pulp sauce | 2.0 1.0 9.0 view top 100 |
| hhwght | hhwght | number | Derived variable, household weight | 68.09589327 21.2874552 12.59863702 120.78099840000002 109.80852209999999 view top 100 |
| wmwght | wmwght | number | Women s sample weight | 74.10435444 21.2874552 142.0952922 13.69417067 120.7893743 view top 100 |
| urbrur | urbrur | number | Urban, rural | 2 view top 100 |
| h02_month | h02_month | number | In what month were you born? | 98.0 6.0 10.0 2.0 8.0 view top 100 |
| h02_year | h02_year | number | In what year were you born? | 1997.0 1992.0 1996.0 1993.0 1995.0 view top 100 |
| zih_women_age_range | zih_women_age_range | number | Are you between the ages of 15 and 49 years old? | 9.0 view top 100 |
| zih_age_check_yn | zih_age_check_yn | number | IS THE RESPONDENT BETWEEN THE AGES OF 15 AND 49 YEARS? | 1.0 2.0 99.0 view top 100 |
| zih_bmi | zih_bmi | number | Derived in ODK | 10.01 21.0 22.48 21.65 20.44 view top 100 |
| zih_married | zih_married | text | view top 100 | |
| grainsgrp | grainsgrp | number | 1.0 0.0 view top 100 | |
| beansgrp | beansgrp | number | Legumes and nuts | 0.0 1.0 view top 100 |
| milkgrp | milkgrp | number | Dairy products (milk, yogurt, cheese) | 0.0 1.0 view top 100 |
| organgrp | organgrp | number | Organ meat | 0.0 1.0 view top 100 |
| eggsgrp | eggsgrp | number | Eggs | 0.0 1.0 view top 100 |
| fleshgrp | fleshgrp | number | Flesh foods (meat, fish, poultry and liver organ meats) | 1.0 0.0 view top 100 |
| lfygrngrp | lfygrngrp | number | Other Vitamin A rich vegetables and fruits | 1.0 0.0 view top 100 |
| othvitagrp | othvitagrp | number | 1.0 0.0 view top 100 | |
| othfrtgrp | othfrtgrp | number | Other fruits and vegetables | 0.0 1.0 view top 100 |
| foodsum | foodsum | number | Number of Food Groups Consumed 0-9 | 4.0 3.0 5.0 6.0 2.0 view top 100 |
| bmi | bmi | number | Women s BMI (weight in kg (height in m squared)) | 24.44937706 25.15875626 22.41599655 23.32751656 19.03952789 view top 100 |
| underwght | underwght | number | Underweight (BMI 18.5) | 0.0 1.0 view top 100 |
| id_code | id_code | number | Respondent ID in the household | 2 1 3 4 5 view top 100 |