JOR_2010_HEIS_v01_M
Household Expenditure and Income Survey 2010
Name | Country code |
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Jordan | JOR |
Income/Expenditure/Household Survey [hh/ies]
The Department of Statistics in Jordan has conducted a series of Expenditure and Income Surveys during the years 1966, 1980, 1986/1987, 1992, 1997, 2002/2003, 2006/2007, 2008/2009 and 2010/2011.
The main objective of the survey is to obtain detailed data on household expenditure and income, linked to various demographic and socio-economic variables, to enable computation of poverty indices and determine the characteristics of the poor and prepare poverty maps. Therefore, to achieve these goals, the sample had to be representative on the sub-district level.
Data collected through the survey helped in achieving the following objectives:
Sample survey data [ssd]
v01
Household: Includes geographic, social, and economic characteristics of households, namely, household composition, dwelling characteristics, ownership of assets indicators, heads' and spouses' characteristics, annual household expenditure and income.
Individual: Includes demographic, education, labor and health characteristics, as well as annual income for household members identified as earners.
National
The survey covered a national sample of households and all individuals permanently residing in surveyed households.
Name | Affiliation |
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Department of Statistics | Jordan |
The Household Expenditure and Income survey sample, for the year 2010, was designed to serve the basic objectives of the survey through providing a relatively large sample in each sub-district to enable drawing a poverty map in Jordan. The General Census of Population and Housing in 2004 provided a detailed framework for housing and households for different administrative levels in the country. Jordan is administratively divided into 12 governorates, each governorate is composed of a number of districts, each district (Liwa) includes one or more sub-district (Qada). In each sub-district, there are a number of communities (cities and villages). Each community was divided into a number of blocks. Where in each block, the number of houses ranged between 60 and 100 houses. Nomads, persons living in collective dwellings such as hotels, hospitals and prison were excluded from the survey framework.
A two stage stratified cluster sampling technique was used. In the first stage, a cluster sample proportional to the size was uniformly selected, where the number of households in each cluster was considered the weight of the cluster. At the second stage, a sample of 8 households was selected from each cluster, in addition to another 4 households selected as a backup for the basic sample, using a systematic sampling technique. Those 4 households were sampled to be used during the first visit to the block in case the visit to the original household selected is not possible for any reason. For the purposes of this survey, each sub-district was considered a separate stratum to ensure the possibility of producing results on the sub-district level. In this respect, the survey framework adopted that provided by the General Census of Population and Housing Census in dividing the sample strata. To estimate the sample size, the coefficient of variation and the design effect of the expenditure variable provided in the Household Expenditure and Income Survey for the year 2008 was calculated for each sub-district. These results were used to estimate the sample size on the sub-district level so that the coefficient of variation for the expenditure variable in each sub-district is less than 10%, at a minimum, of the number of clusters in the same sub-district (6 clusters). This is to ensure adequate presentation of clusters in different administrative areas to enable drawing an indicative poverty map.
It should be noted that in addition to the standard non response rate assumed, higher rates were expected in areas where poor households are concentrated in major cities. Therefore, those were taken into consideration during the sampling design phase, and a higher number of households were selected from those areas, aiming at well covering all regions where poverty spreads.
Start | End |
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2010-04-01 | 2011-03-31 |
Name | Affiliation |
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Department of Statistics | Jordan |
The data collection phase covered a full year and a program was developed to organize the fieldwork daily tasks for each team. For the convenience of the families, and to minimize the number of visits, the following plan for data collection was followed:
· Data collection of the housing characteristics form was done at the beginning of the first round. However, items related to the continuity of residence of each member with the family or the arrival of new members to the family were updated at the beginning of the second, third and fourth rounds.
· Data for income by its sources was collected in two phases, once every six months.
· Expenditure on food commodities data was collected for one week in each round where the family recorded all goods bought by type, quantity and value for each day during the week.
· Expenditure on non-food commodities data was collected on monthly basis at the end of each month.
· Capital transactions data was collected once at the end of the fourth round to cover the entire survey year.
Name | Affiliation |
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Poverty GP MNA | The World Bank |
Use of the dataset must be acknowledged using a citation which would include:
Example:
Department of Statistics, Jordan. Household Expenditure and Income Survey 2010. Ref. JOR_2010_HEIS_v01_M. Dataset downloaded from [url] on [date].
The user of the data acknowledges that the original collector of the data, 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.
Name | Affiliation | URL | |
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Department of Statistics (DoS) | Jordan | stat@dos.gov.jo | www.dos.gov.jo |
DDI_JOR_2010_HEIS_v01_M_WB
Name | Affiliation | Role |
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Development Economics Data Group | The World Bank | Documentation of the DDI |
2016-02
Version 01 (February 2016)