Urban Youth Survey 2012
Tunisia, 2012
Get MicrodataIdentification
TUN_2012_UYS_v01_M_PUF
Urban Youth Survey 2012
| Name | Country code |
|---|---|
| Tunisia | TUN |
Other Household Survey [hh/oth]
Sample survey data [ssd]
Version
- v01: Edited, anonymous dataset for public distribution.
Scope
The study focuses on:
· Spatial patterns of unemployment, economic activity, migration, access to basic services and shocks;
· Job search methods and the effectiveness of active labor market programs;
· Attitudes of young people to government and the economy;
· Time use and activities of young people.
Coverage
Urban Areas
7 explicit survey strata were selected: District of Tunis, North East, North West, Central East, Central West, South East, South West
The target population consists of urban households from the 7 regions of the country and their members, in particular those in the 15 to 29 age group.
Producers and sponsors
| Name |
|---|
| Institut National de la Statistique |
| Name |
|---|
| General Commissariat for Regional Development |
| Ecole Superieure des Sciences Economiques et Commerciales de Tunis |
| Name | Role |
|---|---|
| World Bank Group | Technical and financial support |
Sampling
The 2012 UYS has a national coverage of urban areas, and is regionally representative. The total sample size of 4224 households was established to allow good inference at the regional level, within the budget constraints of the project.
The target population consists of urban households from the 7 regions of the country and their members, in particular those in the 15 to 29 age group.
The sample is selected through an EAaw at two levels:
· In the first stage, 352 Enumeration areas (EAs - in French Districts de recensement, EAs) have been drawn with Probability Proportional to Size, using the General Census of Population and Housing in 2004 as sampling frame, and the number of households as the measure of size.
· In the second stage, in each EA selected in the first stage, 12 households will be drawn with equal probabilities. In each EA, the survey team assigned to this EA starts with listing, a comprehensive enumeration of the households in the EA.
The number of EAs to consider within each stratum was calculated using as main criterion the need to obtain estimates of acceptable quality in the key areas of estimation for the investigation. Two scenarios have been discussed. The first scenario follows a distribution proportional to the size of each region. The second scenario simply splits the total sample in an equal way between the 7 regions. For the smallest regions, the first scenario results in a sample that is too small to allow correct inference. On the other hand, it seems of interest to allow a larger sample in larger regions. Therefore, the sampling adopted follows the rule of Markwardt, which allows for a regionally representative sample.
Data collection
| Start | End |
|---|---|
| 2012-05 | 2012-06 |
| Name |
|---|
| Projet Citoyen |
| Ecole Superieure des Sciences Economiques et Commerciales de Tunis |
Depositor information
| Name | Affiliation |
|---|---|
| Tobias Lechtenfeld | World Bank Group |
Data Access
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,
Tunisian Institut National de la Statistique. Tunisia Urban Youth Survey 2012, Ref. TUN_2012_UYS_v01_M_PUF. Dataset downloaded from [url] on [date].
Disclaimer and copyrights
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.
Contacts
| Name | Affiliation | |
|---|---|---|
| Tobias Lechtenfeld | World Bank | tlechtenfeld@worldbank.org |
Metadata production
DDI_TUN_2012_UYS_v01_M_PUF_WB
| Name | Affiliation | Role |
|---|---|---|
| Development Economics Data Group | The World Bank | Documentation of the DDI |