Popstan Synthetic Household Survey 2023
Popstan, 2023
Get MicrodataIdentification
JD_MICRO_001
Popstan Synthetic Household Survey 2023
PSHS 2023
| Name | Country code |
|---|---|
| Popstan | POP |
Socio-Economic/Monitoring Survey [hh/sems]
The 2023 survey is the 4th welfare monitoring survey conducted by the National Statistics Office. The survey is conducted every two years. Previous surveys were conducted in 2017, 2019, and 2021.
The 2023 Popstan Synthetic Household Survey is a periodic national welfare monitoring survey conducted by the Popstan National Statistics Office. It is used to update the national poverty profile, based on the (indexed) national poverty line calculated in 2017.
Sample survey data [ssd]
Household, Individual
Version
v01_2023_EN
Scope
| Topic |
|---|
| demographics |
| education |
| labor |
| assets ownership |
| household expenditure |
| housing |
| water and sanitation |
Coverage
National (all 10 regions)
Resident population with exception of homeless, nomads, and residents in institutional households
Producers and sponsors
| Name |
|---|
| National Statistics Office (NSO) |
| Name |
|---|
| The Foundation for Synthetic Data |
Sampling
Sample frame
Synthetic population census dataset (conducted in January 2023, with January 15 as census night)
A stratified sample was drawn. The urban/rural areas of each province (geo1) were used as strata. The sample of 8,000 households was selected proportional to the size of each geo1. In each stratum, we randomly enumeration areas (Eas), and in each EA we randomly
The response rate was 100%.
The sample weight was calculated for each household (variable hhweight). Considering the sample design and the response rate of 100%, no adjustment or calibration of the weights was required.
Data collection
| Start | End |
|---|---|
| 2023-07-04 | 2023-12-27 |
| Response Rate | Training |
|---|---|
| Interviewers training | Interviewers were trained by the staff of the National Statistics Office during a period of two weeks prior to the fieldwork. All interviewers were teachers. The training was provided at the provincial level, in the two national languages. |
One interviewer was contracted per enumeration area. The interviewers conducted 4 visits to each household during the survey period. One controler was assigned to each team of 5 interviewers. One supervisor was assigned to each province.
Data processing
| Type | Description |
|---|---|
| Data capture | Data were captured during data collection (face-to-face or by phone) using tablets and the Survey Solutions software application. |
| Data editing | Validation (range and consistency checks) was implemented in real time by the application. At the completion of each one of the 4 phases of the survey, the data were processed for batch editing. |
| Tabulation and analysis | Analysis and tabulation was made using R. |
Quality standards
The questionnaire was designed in compliance with national classifications and using the survey question bank maintained by the National Statistics Office.
Data Access
Users of the dataset are requested to cite the data as follows: National Statistics Office (NSO) of Popstan. 2023. Microdata from the Synthetic Household Survey 2023 (version v01_2023_EN). Downloaded from NSO website on [date]
Metadata production
| Name |
|---|
| John Doe |
2025-02-12T05:00:00.000Z