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Mini Poverty Income Consumption and Expenditure Survey 2019

Zimbabwe
Zimbabwe National Statistical Agency
Last modified September 27, 2021 Page views 512 Documentation in PDF Metadata DDI/XML JSON
  • Study description
  • Documentation
  • Get Microdata
  • Identification
  • Version
  • Coverage
  • Producers and sponsors
  • Sampling
  • Metadata production

Identification

idno
ZWE_2019_Mini_PICES_v01_M_v01_A_SUF
Title
Mini Poverty Income Consumption and Expenditure Survey 2019
Country
Name Country code
Zimbabwe ZWE
Abstract
In 2017 the Zimbabwe National Statistics Agency (ZIMSTAT) completed a Poverty, Income, Consumption and Expenditure Survey (PICES) that generated a welfare and poverty estimate for that year. However, the economic and social events in late 2018 and early 2019 may have led to changes in the poverty levels of the population, suggesting the need for an update. Notably, rapid food price inflation, coupled with poor rainfall during the 2018/19 agricultural season, may have significantly affected poverty levels. These events also increased the proportion of food-insecure Zimbabweans, especially during the lean season when household stocks are exhausted. The decline in the exchange rate of the Zimbabwean dollar led to rising costs of imports. This, combined with increasing transport costs, has also negatively impacted households since 2017. Therefore, the Government and its development partners indicated the desire to obtain an updated picture of poverty levels and living conditions in the country. Due to the rapid economic changes that occurred in the Zimbabwean economy from 2017 to 2019, a poverty update was also needed. ZIMSTAT achieved this by conducting a household survey, the Mini-PICES 2019, from April 15 to May 23, 2019.

Objectives of the survey
The two major objectives of the Mini-PICES 2019 are to:
• update the poverty estimates for the country; and
• obtain a quick understanding of living conditions post 2017.

The Mini PICES presents the changes that resulted from an exercise to rebase the poverty measurement methodology. The survey was guided by the PICES Technical Committee, chaired by ZIMSTAT, and comprised members from the World Bank, United Nations Children's Fund, the United Nations Development Programme, the Ministry of Finance and Economic Development, and the Ministry of Public Service, Labour and Social Welfare.The survey was supported by funding from the Zimbabwe Reconstruction Fund (ZIMREF) and technical support from the World Bank and the PICES Technical Committee.
Unit of Analysis
Household

Version

Version number
v01 Edited, anonymous dataset for public distribution.
Anonymization details provided in anonymization report provided as Related Materials.

Coverage

Geographic Coverage
National Coverage
Unit of Analysis
Household
Universe
Population can be enumerated using two methods: a "de jure" and a "de facto" population count. A " de jure" count is the enumeration of persons, who usually reside in a given place, whereas a "de facto" count is the enumeration of persons physically present at a specified place. For this survey we adopt the "de jure" concept. The usual members may be present or temporarily absent. We are thus concerned about the de jure household. A household is a single person or a group of people who usually live, cook and eat together, they may be related or not.

Producers and sponsors

Authoring entity/Primary investigators
Agency Name Affiliation
Zimbabwe National Statistical Agency Ministry of Finance and Economic Development
Producers
Name Role
Zimbabwe National Statistics Agency Technical Support
World Bank Technical Support
United Nations Childrens Fund Technical Support
United Nations Development Programme Technical Support
United Nations Population Fund Technical Support
Ministry of Finance and Economic Development Technical Support
Ministry of Public Service Labour and Social Welfare Technical Support
Funding Agency/Sponsor
Name Abbreviation Role
Zimbabwe Reconstruction Fund ZIMREF Financial Support
Government of Zimbabwe GoZ Financial Support

Sampling

Sampling Procedure
Sampled households were a subsample of the PICES 2017 households covered in February-June 2017. ZIMSTAT achieved this by conducting a household survey, the Mini-PICES 2019, from April 15 to May 23, 2019.

Sample design
The sample selection methodology for the Mini-PICES was based on a two-stage stratified sample design. At the first sampling stage, the sample enumeration areas (EAs) were selected within each stratum (administrative district) systematically with probability proportional to size from the ordered list of EAs. The measure of size for each EA was based on the total number of households identified in the 2012 population census sampling frame. The EAs for the Mini-PICES were selected using random systematic sampling. The second-stage selection of sample households within a sample EA


Sampling frame
The sampling frame for the Mini-PICES 2019 was based on the complete frame of EAs from Zimbabwe's 2012 census and those EAs covered in the February-June 2017 PICES. The sample used for most of the national household surveys, known as the Zimbabwe master sample, was based on the 2012 census frame. A total of 210 EAs were selected from this new frame. Seventy enumeration areas were selected from the urban strata, and 140 enumeration areas were selected from the rural areas. The initial budget was estimated based on a maximum sample size of about 3,000 Non Daily Record Book households and 600 daily record book households. In the case of the largest administrative districts of Harare and Bulawayo, which are also individual provinces, oversampling of households was done.
Weighting
In order for the sample estimates from the Mini PICES 2019 to be representative of the population, it was necessary to multiply the data by a sampling weight, or expansion factor. The basic weight for each sample household would be equal to the inverse of its probability of selection (calculated by multiplying the probabilities at each sampling stage).

Metadata production

Document ID
DDI_ZWE_2019_Mini_PICES_v01_M_v01_A_SUF
Producers
Name Abbreviation Affiliation Role
Zimbabwe National Statistics Agency ZIMSTAT Ministry of Macroeconomic Planning and Investment Promotion Documentation of the DDI
Zimbabwe National Statistics Agency(ZIMSTAT)

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