Immigrants by Detailed Occupation
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Database on Immigrants in OECD Countries

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Bibliographic citation:
Organisation for Economic Co-operation and Development: International Migration Statistics. UK Data Service. https://doi.org/10.5257/oecd/ims/2015-10

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Most countries that provided census or register data have applied a random rounding procedure intended to prevent the disclosure of individual information. This procedure consists in randomly rounding each data cell to the closest upper or lower multiple of 3 or 5. Any figure extracted from the database reflects this procedure and the population totals or subtotals may therefore vary slightly from one table to the other.

In order to improve the reliability of the population estimates from the labour force surveys, several surveys over the period 1998-2002 have been stacked and the figures have been averaged over this period. The significance thresholds provided by Eurostat for individual surveys were adapted to reflect the increased sample size resulting from this operation, taking into account the overlap between two successive surveys. No cell with a population below these calculated thresholds can be published, and the cells are assumed to have a zero population.

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The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.

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Country of birth

With regard to the coding of countries of birth, the objective was to minimise residual (i.e. "other") categories. An attempt was made to preserve the maximum information available while distinguishing between continental/regional residual categories whenever this was possible (i.e. "Other Africa", "Other Europe", "Other Asia", "Other South and Central America and Caribbean", "Other Oceania", "Other North America").

With regard to split, recomposed or newly constituted countries, there was little choice but to respect the coding in the national data collection, which varies from one country to another. In the United States, for example, people born in Korea have a choice of three ways to indicate their country of birth: Korea, North Korea or South Korea. More than 80% of them indicated they were born in Korea, without further specification. In the Japanese census data, it is not possible to identify in which part of the Korean peninsula a person was born; the place of birth of people born on the current territories of the Republic of Korea or the Democratic People's Republic of Korea is therefore noted "Korea unspecified". In the censuses of many OECD countries, the Czech Republic and the Slovak Republic are aggregated under the name of the former Czechoslovakia. The same applies to the former USSR and the former Yugoslavia.

Regarding imprecise or missing information on the place of birth, there are two coding possibilities. For foreign-born people whose country of birth is not known or is too imprecise to fall into one of the continental categories, the country of birth is coded as Other (OTH). Since the definition of the category Other is specific to each OECD reporting country, the overall Other category does not have any particular meaning in terms of country or region of origin. For people whose birth status (native or foreign-born) is unknown, the country of birth is coded as Unknown (UNK). As can be seen in Table A.2 (see the methodological document), for most countries, the share of the population for whom the place of birth is completely undetermined is very small. However, a few countries have a significant proportion of the population with an unknown place of birth (in particular the Slovak Republic, Germany, Australia, Switzerland and New Zealand). For the OECD area as a whole, the share of people with an unknown place of birth is less than 1%.

Due to confidentiality issues or imprecise information, the place of birth is sometimes recorded at the continental level instead of the country level. The detailed list of the countries and regions of birth represented in the database is provided in Table A.3 (see the methodological document).

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This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States.

Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study.

In general, the database covers only employed aged 15 and older.

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Detailed occupation:

Occupations are recorded in the database according to the International Standard Classification of Occupations (ISCO-88, cf. ILO 1990). In File D (Occupation), the underlying classification is at the sub-major group level of ISCO-88 (two-digit level, 28 categories of occupation). In File E (Detailed occupation), the underlying classification is at the sub-group level of ISCO-88 (three-digit level, 116 categories of occupation). Most countries were able to provide occupation data both at the two-digit and three-digit levels of ISCO-88. Some countries only provided data at the two-digit level. For these countries, the data are unavailable in File E.

Some countries do not classify occupations using ISCO-88 but use national classifications instead. Most national classifications are close enough to ISCO-88 to allow a correct mapping at the two-digit or three-digit level, but this is not always the case. When the internal logic of the national classification is too distant from that of ISCO-88, the mapping is at best imperfect. In some (rare) cases, it is impossible to reconcile the national and international classifications, even at the one-digit level.

Some European countries are using the European Community version of ISCO-88 (ISCOCOM), which differs slightly from the published ISCO-88 codes at the three-digit level. In particular, ISCO-COM has a category 247 (Public service administrative professionals) that does not exist in ISCO-88. Since the number of workers included in this category is rather large in some countries, it was decided to keep this category in the final classification.

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See the OECD Migration web pages.

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Immigrants by Detailed OccupationContact person/organisation

Get in touchhttp://ukdataservice.ac.uk/help/get-in-touch.aspxData source(s) used

The sources for this database are mainly census data, from the 2000 round of censuses. Census data were used for 22 countries. Countries not taking periodic censuses but keeping population registers have provided data extracted from these registers; this is the case for four countries: Denmark, Finland, Norway and Sweden. For some countries, not all themes covered in the database are present in the national census or register. Labour force surveys, provided by Eurostat and averaged over the period 1998-2002, have been used to fill the gaps where possible.

Name of collection/source

Database on Immigrants in OECD Countries

Direct source

Bibliographic citation:
Organisation for Economic Co-operation and Development: International Migration Statistics. UK Data Service. https://doi.org/10.5257/oecd/ims/2015-10

Source metadata

Most countries that provided census or register data have applied a random rounding procedure intended to prevent the disclosure of individual information. This procedure consists in randomly rounding each data cell to the closest upper or lower multiple of 3 or 5. Any figure extracted from the database reflects this procedure and the population totals or subtotals may therefore vary slightly from one table to the other.

In order to improve the reliability of the population estimates from the labour force surveys, several surveys over the period 1998-2002 have been stacked and the figures have been averaged over this period. The significance thresholds provided by Eurostat for individual surveys were adapted to reflect the increased sample size resulting from this operation, taking into account the overlap between two successive surveys. No cell with a population below these calculated thresholds can be published, and the cells are assumed to have a zero population.

Statistical population

This database contains information on several demographic and labour market characteristics of the population of 28 OECD countries around the year 2000, by country of birth. The OECD countries included are Australia, Austria, Belgium, Canada, the Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Japan, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, the Slovak Republic, Spain, Sweden, Switzerland, Turkey, the United Kingdom and the United States.

Most of the thematic files of the database include three core variables: the country of residence, the country of birth and educational attainment. Other variables available in the database include age, gender, citizenship, duration of stay, labour force status, occupation, sector of activity and field of study.

In general, the database covers only employed aged 15 and older.

Geographic coverage

Country of birth

With regard to the coding of countries of birth, the objective was to minimise residual (i.e. "other") categories. An attempt was made to preserve the maximum information available while distinguishing between continental/regional residual categories whenever this was possible (i.e. "Other Africa", "Other Europe", "Other Asia", "Other South and Central America and Caribbean", "Other Oceania", "Other North America").

With regard to split, recomposed or newly constituted countries, there was little choice but to respect the coding in the national data collection, which varies from one country to another. In the United States, for example, people born in Korea have a choice of three ways to indicate their country of birth: Korea, North Korea or South Korea. More than 80% of them indicated they were born in Korea, without further specification. In the Japanese census data, it is not possible to identify in which part of the Korean peninsula a person was born; the place of birth of people born on the current territories of the Republic of Korea or the Democratic People's Republic of Korea is therefore noted "Korea unspecified". In the censuses of many OECD countries, the Czech Republic and the Slovak Republic are aggregated under the name of the former Czechoslovakia. The same applies to the former USSR and the former Yugoslavia.

Regarding imprecise or missing information on the place of birth, there are two coding possibilities. For foreign-born people whose country of birth is not known or is too imprecise to fall into one of the continental categories, the country of birth is coded as Other (OTH). Since the definition of the category Other is specific to each OECD reporting country, the overall Other category does not have any particular meaning in terms of country or region of origin. For people whose birth status (native or foreign-born) is unknown, the country of birth is coded as Unknown (UNK). As can be seen in Table A.2 (see the methodological document), for most countries, the share of the population for whom the place of birth is completely undetermined is very small. However, a few countries have a significant proportion of the population with an unknown place of birth (in particular the Slovak Republic, Germany, Australia, Switzerland and New Zealand). For the OECD area as a whole, the share of people with an unknown place of birth is less than 1%.

Due to confidentiality issues or imprecise information, the place of birth is sometimes recorded at the continental level instead of the country level. The detailed list of the countries and regions of birth represented in the database is provided in Table A.3 (see the methodological document).

Key statistical concept

See the OECD Migration web pages.

OECD Migration web pageshttp://www.oecd.org/migration/
Classification(s) used

Detailed occupation:

Occupations are recorded in the database according to the International Standard Classification of Occupations (ISCO-88, cf. ILO 1990). In File D (Occupation), the underlying classification is at the sub-major group level of ISCO-88 (two-digit level, 28 categories of occupation). In File E (Detailed occupation), the underlying classification is at the sub-group level of ISCO-88 (three-digit level, 116 categories of occupation). Most countries were able to provide occupation data both at the two-digit and three-digit levels of ISCO-88. Some countries only provided data at the two-digit level. For these countries, the data are unavailable in File E.

Some countries do not classify occupations using ISCO-88 but use national classifications instead. Most national classifications are close enough to ISCO-88 to allow a correct mapping at the two-digit or three-digit level, but this is not always the case. When the internal logic of the national classification is too distant from that of ISCO-88, the mapping is at best imperfect. In some (rare) cases, it is impossible to reconcile the national and international classifications, even at the one-digit level.

Some European countries are using the European Community version of ISCO-88 (ISCOCOM), which differs slightly from the published ISCO-88 codes at the three-digit level. In particular, ISCO-COM has a category 247 (Public service administrative professionals) that does not exist in ISCO-88. Since the number of workers included in this category is rather large in some countries, it was decided to keep this category in the final classification.

The sources and methods used to compile the DIOChttp://www.oecd.org/els/mig/40136955.pdfInternational Migrants in Developed, Emerging and Developing Countries: An Extended Profilehttp://www.oecd.org/migration/46535003.pdf
Recommended uses and limitations

Guide to OECD International Migration Statisticshttp://ukdataservice.ac.uk/use-data/guides/dataset/migration-statistics.aspxOther comments

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