Poverty, Income, Consumption and Expenditure Survey 2017
Zimbabwe, 2017
Get MicrodataIdentification
ZWE_2017_PICES_v01_M
Poverty, Income, Consumption and Expenditure Survey 2017
| Name | Country code |
|---|---|
| Zimbabwe | ZWE |
Income/Expenditure/Household Survey [hh/ies]
The Poverty, Income, Consumption and Expenditure Survey is carried out every 5 years and the last survey was conducted in 2011/12. The PICES 2017 is the seventh survey of its kind to be conducted in Zimbabwe by ZIMSTAT.
The Poverty, Income, Consumption, and Expenditure Survey 2017 is the main data source for the compilation of the informal sector, living conditions, poverty levels, and weights for the Consumer Price Index (CPI). The survey is based on a sample of 32,256 households, representative at Province and District Levels.
The objectives of the survey are to:
- Estimate private consumption expenditure and disposable income of the household sector
- Compile the production account of the agricultural sector
- Study income/expenditure disparities among socio-economic groups
- Estimate the contribution of the informal sector to GDP in Zimbabwe
- Estimate the size of household transfer incomes within and outside the country
- Calculate weights for the Consumer Price Index (CPI)
- Calculate the poverty line, measure the poverty rate and inequality
- Provide data useful to formulate national policies for social welfare programmes
- Obtain data for poverty mapping
- Obtain data useful in measuring the demographic dividend for Zimbabwe
Sample survey data [ssd]
- Individuals
- Households
Version
v0.1: Edited, anonymous dataset.
Scope
The scope of the PICES 2017 includes:
- Household Characteristics
- Education
- Employment
- Health and Disability
- Incomes and Remittances
- Household Food and Non-food Consumption
- Agriculture
- Informal Sector
- International Migration
Coverage
- National Coverage: 62 administrative districts of Zimbabwe
- Rural and Urban areas
- Land-use sectors: Communal Lands (CL), Small Scale Commercial Farms (SSCF), Large Scale Commercial Farms (LSCF), Resettlement Areas (includes Old Resettlement Areas (ORA), A1 Farms and A2 Farms), Urban Council Areas (UCA), Administrative Centres (AC), and Growth Point (GP) and Other Urban Areas (OUA), e.g. Services Center and Mines.
The sample is representative of the whole population of Zimbabwe living in private households. The population living in collective households or in institutions such as military barracks, prisons and hospitals are excluded from the sampling frame.
Producers and sponsors
| Name | Affiliation |
|---|---|
| The Zimbabwe National Statistics Agency (ZIMSTAT) | The Government of Zimbabwe |
| Name | Affiliation | Role |
|---|---|---|
| The World Bank | The World Bank | Technical assistance |
| United Nations Children’s Fund | United Nations | Technical assistance |
| United Nations Development Programme | United Nations | Technical assistance |
| United Nations Population Fund | United Nations | Technical assistance |
| African Development Bank | African Development Bank | Technical assistance |
| Ministry of Finance and Economic Development | The Governement of Zimbabwe | Technical assistance |
| Ministry of Public Service, Labour and Social Services | The Governement of Zimbabwe | Technical assistance |
| Ministry of Lands, Agriculture, Water, Climate and Rural Resettlement | The Governement of Zimbabwe | Technical assistance |
| Name |
|---|
| The Government of Zimbabwe |
| The World Bank |
| United Nations Children’s Fund |
| United Nations Development Programme |
| African Development Bank |
| Name | Affiliation | Role |
|---|---|---|
| United Nations Population Fund (UNFPA) | United Nations | Provision of vehicles |
Sampling
At the first sampling stage, the sample EAs for the PICES 2017 are selected within each stratum (administrative district) using random systematic sampling with Probability Proportional to Size (PPS) from the ordered list of EAs in the sampling frame. The measure of size for each EA are based on the total number of households identified in the 2012 Population Census sampling frame. The EAs within each district are ordered first by rural and urban codes, land-use sector, ward and EA number. This provides implicit land-use and geographic stratification of the sampling frame within each district, and ensures a proportional allocation of the sample to the urban and rural areas of each district.The Complex Samples module of the SAS software is used for selecting the sample EAs systematically with PPS within each stratum at the first stage. The module uses the “SURVEY SELECT” sampling procedure.
At the second sampling stage, a random systematic sample of 14 households are selected with equal probability from the listing of each sample EA. Reserve households are selected for replacements. The reason why the replacement of non interview households are considered was to maintain the effective sample size and enumerator workload in each sample EA. Four households are selected for possible replacement, and thus a total of 18 households are selected from each sample EA. A systematic subsample of 4 households are then selected from the 18 households, and the remaining 14 sample households are considered the original sample for the survey. A spreadsheet is developed for selecting the 14 sample households and 4 reserve households for possible replacement in each sample EA. This spreadsheet includes items for the identification of the sample EA, and formulas for the systematic selection of households once the total number of households listed has been entered.
Out of a total of 32,256 sampled households, a total of 31,195 households successfully completed interviews. This gives a response rate of 96.7 percent of the sampled households.
Data collection
| Start | End |
|---|---|
| 2017/01 | 2017/12 |
| Name | Affiliation |
|---|---|
| The Zimbabwe National Statistics Agency | The Government of Zimbabwe |
Data processing
The PICES 2017 data entry is conducted by the ZIMSTAT Data Entry Unit using the CSPro software to enter the data. Data entry was done from January 2018 to June 2018. Data is captured twice by different people for purposes of verification. Data from the daily record books (the household food consumption diaries) have been entered from July to November 2018. SAS and STATA software is used for data processing. Data cleaning is done at all stages i.e. during data entry and data processing to check for the consistency of the data. Tables are then generated for use in report writing.
Data appraisal
The standard error, or square root of the variance, is used to measure the sampling error, although it may also include a small variable part of the non-sampling error. The variance estimator should take into account the different aspects of the sample design, such as the stratification and clustering. Programs available for calculating the variances for survey data from stratified multi stage sample designs such as the PICES 2017 include STATA and the Complex Samples module of SPSS as well as SAS and Wesvar. All these software packages use an ultimate cluster (linearized Taylor series) variance estimator. The Complex Samples module of STATA is used with the PICES 2017 data to produce the sampling errors.
Depositor information
| Name | Affiliation |
|---|---|
| The Zimbabwe National Statistics Agency | The Government of Zimbabwe |
Data Access
| Name | Affiliation | URL | |
|---|---|---|---|
| The Zimbabwe National Statistics Agency (ZIMSTAT) | The Government of Zimbabwe | http://www.zimstat.co.zw | info@zimstat.co.zw |
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Example:
The Zimbabwe National Statistics Agency. Poverty, Income, Consumption and Expenditure Survey (PICES) 2017. Ref. ZWE_2017_PICES_v01_M. Downloaded from [url] on [date].
Contacts
| Name | Affiliation | |
|---|---|---|
| The Zimbabwe National Statistics Agency (ZIMSTAT) | The Government of Zimbabwe | info@zimstat.co.zw |
Metadata production
DDI_ZWE_2017_PICES_v01_M_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |
| The Sub-Saharan Team for Statistical Development | The World Bank | Documentation of the DDI |
2020-04-24
Metadata version
Version 0.1 (April 2020)