Household Income, Consumption and Expenditure Survey 2004-2005 - World Bank SHIP Harmonized Dataset
Survey based Harmonized Indicators (SHIP) files are harmonized data files from household surveys that are conducted by countries in Africa. To ensure the quality and transparency of the data, it is critical to document the procedures of compiling consumption aggregation and other indicators so that the results can be duplicated with ease. This process enables consistency and continuity that make temporal and cross-country comparisons consistent and more reliable.
Four harmonized data files are prepared for each survey to generate a set of harmonized variables that have the same variable names. Invariably, in each survey, questions are asked in a slightly different way, which poses challenges on consistent definition of harmonized variables. The harmonized household survey data present the best available variables with harmonized definitions, but not identical variables. The four harmonized data files are
a) Individual level file (Labor force indicators in a separate file): This file has information on basic characteristics of individuals such as age and sex, literacy, education, health, anthropometry and child survival.
b) Labor force file: This file has information on labor force including employment/unemployment, earnings, sectors of employment, etc.
c) Household level file: This file has information on household expenditure, household head characteristics (age and sex, level of education, employment), housing amenities, assets, and access to infrastructure and services.
d) Household Expenditure file: This file has consumption/expenditure aggregates by consumption groups according to Purpose (COICOP) of Household Consumption of the UN.
Kind of data
Sample survey data [ssd]
The SHIP datasets contains harmonized variables, produced by Africa Region, Office of the Chief Economist (AFRCE) based on the raw data from houshold surveys conducted in African countries.
The data provided by the National Statistical Office is harmonized across countries and across time using a standard SHIP methodology.
Unit of analysis
- Individual level for datasets with suffix _I and _L
- Household level for datasets with suffix _H and _E
The survey covered all de jure household members (usual residents).
Producers and sponsors
Central Statistical Agency (CSA)
Ministry of Finance and Economic Development
Office of the Chief Economist - Africa Region
The list of households obtained from the 2001/2 Ethiopian Agricultural Sample Enumeration (EASE) was used as a frame to select EAs from the rural part of the country. On the other hand, the list consisting of households by EA, which was obtained from the 2004 Ethiopian Urban Economic Establishment Census, (EUEEC), was used as a frame in order to select sample enumeration areas for the urban HICE survey. A fresh list of households from each urban and rural EA was prepared at the beginning of the survey period. This list was, thus, used as a frame in order to select households from sample EAs.
For the purpose of the survey the country was divided into three broad categories. That is; rural, major urban center and other urban center categories.
Category I: Rural: - This category consists of the rural areas of eight regional states and two administrative councils (Addis Ababa and Dire Dawa) of the country, except Gambella region. Each region was considered to be a domain (Reporting Level) for which major findings of the survey are reported. This category comprises 10 reporting levels. A stratified two-stage cluster sample design was used to select samples in which the primary sampling units (PSUs) were EAs. Twelve households per sample EA were selected as a Second Stage Sampling Unit (SSU) to which the survey questionnaire were administered.
Category II:- Major urban centers:- In this category all regional capitals (except Gambella region) and four additional urban centers having higher population sizes as compared to other urban centers were included. Each urban center in this category was considered as a reporting level. However, each sub-city of Addis Ababa was considered to be a domain (reporting levels). Since there is a high variation in the standards of living of the residents of these urban centers (that may have a significant impact on the final results of the survey), each urban center was further stratified into
the following three sub-strata.
Sub-stratum 1:- Households having a relatively high standards of living
Sub-stratum 2:- Households having a relatively medium standards of living and
Sub-stratum 3:- Households having a relatively low standards of living.
The category has a total of 14 reporting levels. A stratified two-stage cluster sample design was also adopted in this instance. The primary sampling units were EAs of each urban center. Allocation of sample EAs of a reporting level among the above mentioned strata were accomplished in proportion to the number of EAs each stratum consists of. Sixteen households from each sample EA were inally selected as a Secondary Sampling Unit (SSU).
Category III: - Other urban centers: - Urban centers in the country other than those under category II were grouped into this category. Excluding Gambella region a domain of "other urban centers" is formed for each region. Consequently, 7 reporting levels were formed in this category. Harari, Addis Ababa and Dire Dawa do not have urban centers other than that grouped in category II. Hence, no domain was formed for these regions under this category. Unlike the above two categories a stratified three-stage cluster sample design was adopted to select samples from this category. The primary sampling units were urban centers and the second stage sampling units were EAs. Sixteen households from each EA were lastly selected at the third stage and the survey questionnaires administered for all of them.
Data collected by the survey was harmonized in accordance with the guidelines in the Africa SHIP manual. Program with suffix _I extracts individual level information, _L extracts labor and time use information, _H extracts household information and _E extracts expenditure information.
Office of the Chief Economist, Africa Region
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the Identification of the SHIP Harmonized Dataset producer
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the producer of the SHIP Harmonized Dataset, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.