The Health Survey for England, 2000-2001: Small Area Estimation Teaching Dataset was prepared as a resource for those interested in learning introductory small area estimation techniques. It was first presented as part of a workshop entitled 'Introducing small area estimation techniques and applying them to the Health Survey for England using Stata'. The data are accompanied by a guide that includes a practical case study enabling users to derive estimates of disability for districts in the absence of survey estimates. This is achieved using various models that combine information from ESDS government surveys with other aggregate data that are reliably available for sub-national areas. Analysis is undertaken using Stata statistical software; all relevant syntax is provided in the accompanying '.do' files.

The data files included in this teaching resource contain HSE variables and data from the Census and Mid-year population estimates and projections that were developed originally by the National Statistical agencies, as follows:

• The main data file, 'hse_data.dta', is a reduced version of the HSE for 2000 and 2001. In order to combine data from two years of the HSE in a consistent way some changes have been made to the weights in each year. Additionally, some recoding of the limiting long term illness (LLTI), disability and the age variable has also been undertaken.
• File 'practical_1_task_5_data.dta' contains population counts and model mobility disability rates (estimated during practical 1) distinguishing single year of age and sex for the six case study districts.
• File 'practical_2_data.dta' contains the aggregate data required for Practical 2, including age- and sex-specific rates of LLTI (Census) for six UK case study districts, age- and sex-specific rates of mobility disability for England (HSE), and population counts for the six districts.
• File 'pop_data_practical_3.dta' contains population counts for the six districts (by age, sex and LLTI status) required for practical 3

The original HSEs for 2000 and 2001 are held at the UK Data Archive under SNs 4628 and 4912 respectively. Full details of the recoding of HSE variables and how the aggregate data was produced can be found in the data documentation.

This unrestricted access data collection is freely available to download under an Open Government Licence from the UK Data Service. Note that the files should be unzipped/saved to the C: drive of the computer to be used; all syntax assumes files are saved at this location.

United Kingdom UK: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data was reported at 4.203 % in 2010. This records an increase from the previous number of 4.196 % for 2000. United Kingdom UK: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data is updated yearly, averaging 4.203 % from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 4.206 % in 1990 and a record low of 4.196 % in 2000. United Kingdom UK: Urban Population Living in Areas Where Elevation is Below 5 meters: % of Total Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Land Use, Protected Areas and National Wealth. Urban population below 5m is the percentage of the total population, living in areas where the elevation is 5 meters or less.; ; Center for International Earth Science Information Network (CIESIN)/Columbia University. 2013. Urban-Rural Population and Land Area Estimates Version 2. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://sedac.ciesin.columbia.edu/data/set/lecz-urban-rural-population-land-area-estimates-v2.; Weighted average;

This data comes from doctoral research carried out by Irni Johan at the University of Birmingham as part of a study to measure the financial capability of Indonesian undergraduates. A total of 521 students were interviewed face-to-face. The overall response rate was 62 per cent – or 69 per cent if we remove the non-contacts from the base of this calculation. The questionnaire used in this study drew heavily on existing questionnaires developed in other studies, particularly the Financial Capability Baseline survey developed in 2005 by Kempson, Collard and others for FSA UK and the Money Advice Service’s Financial Capability Tracker Questionnaire Wave 3, although the questions were slightly modified to make them more suitable for Indonesian undergraduates give that these questionnaires were developed for a general British public survey. Financial capability was measured via three dimensions: financial knowledge/skill; financial attitudes; and financial behaviour. Fieldwork took place between May and September 2015.This data comes from doctoral research carried out by Irni Johan at the University of Birmingham as part of a study to measure the financial capability of Indonesian undergraduates. A total of 521 students were interviewed face-to-face. The overall response rate was 62 per cent – or 69 per cent if we remove the non-contacts from the base of this calculation. The questionnaire used in this study drew heavily on existing questionnaires developed in other studies, particularly the Financial Capability Baseline survey developed in 2005 by Kempson, Collard and others for FSA UK and the Money Advice Service’s Financial Capability Tracker Questionnaire Wave 3, although the questions were slightly modified to make them more suitable for Indonesian undergraduates give that these questionnaires were developed for a general British public survey. Financial capability was measured via three dimensions: financial knowledge/skill; financial attitudes; and financial behaviour. Fieldwork took place between May and September 2015. This data was collected as part of doctoral research which measured the financial capability (financial knowledge, attitudes and behaviour) of Indonesian undergraduates at Bogor Agricultural University (IPB) (Johan 2018). Bogor Agricultural University (IPB) in Bogor City is in the province of West Java, Indonesia. The total number of undergraduate students when this was study conducted in 2015 was 13,825 students, spread across nine faculties and 36 departments. The population for this study was all IPB undergraduate students in any of the four years of study. The total population thus was 13,825 students. This study used stratified random sampling (a form of probability sampling), with nine faculties at IPB and gender as the strata. Permission from IPB authorities was gained to sample 892 students from their database and then send emails to them to invite them to participate, with a small prize draw offered to encourage responses. A total of 521 students were interviewed with the number of students interviewed in each faculty proportional to the actual numbers in each. A total of 244 people declined the opportunity to take part and it was not possible to contact a further 98 during the fieldwork period (three attempts were made to contact each sample member). The overall response rate was therefore 62 per cent – or 69 per cent if we remove the non-contacts from the base of this calculation. A face-to-face method of data collection was considered essential to gather the large amount of data needed but this then caused issues of scale for the doctoral student and so it was decided to employ four interviewers to help with the data collection. These interviewers received full training by the doctoral student and were monitored throughout.