Data showing the National Statistics Socio-economic Classification of residents in Plymouth.

Economically active and non-active residents of households and those aged 16-64 who are economically active by National Statistics Socio-Economic classification as defined by own occupation. To provide 2001 Census based information about the National Statistics Socio-Economic (NS-SEC) Group of the population within each area as defined by own occupation. Legacy unique identifier: P00032

Dataset population: Persons aged 16 to 74

Age

Age is derived from the date of birth question and is a person's age at their last birthday, at 27 March 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. Infants less than one year old are classified as 0 years of age.

NS-SeC

The National Statistics Socio-economic Classification (NS-SeC) provides an indication of socio-economic position based on occupation. It is an Office for National Statistics standard classification.

To assign a person aged 16 to 74 to an NS-SeC category, their occupation title is combined with information about their employment status, whether they are employed or self-employed and whether or not they supervise other employees. Full-time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

The rebased version of NS-SeC used in census results uses occupation coded to SOC2010. Information about the classification is available here: NS-SEC rebased on SOC2010.

For 'Long-term unemployed', the year last worked is 2009 or earlier. In 2011 Census results, because the census did not ask a question about the number of employees at a person's workplace, the reduced method of deriving NS-SeC (which does not require this information) is used.

About this dataset

Context

The dataset tabulates the Section population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Section. The dataset can be utilized to understand the population distribution of Section by age. For example, using this dataset, we can identify the largest age group in Section.

Key observations

The largest age group in Section, AL was for the group of age 40 to 44 years years with a population of 82 (9.90%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Section, AL was the 80 to 84 years years with a population of 9 (1.09%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Section is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Section total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Section Population by Age. You can refer the same here

Dataset population: Persons aged under 65 in households

NS-SeC of HRP

The National Statistics Socio-economic Classification (NS-SeC) provides an indication of socio-economic position based on occupation. It is an Office for National Statistics standard classification.

To assign a person aged 16 to 74 to an NS-SeC category, their occupation title is combined with information about their employment status, whether they are employed or self-employed and whether or not they supervise other employees. Full-time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

The rebased version of NS-SeC used in census results uses occupation coded to SOC2010. Information about the classification is available here: NS-SEC rebased on SOC2010.

For 'Long-term unemployed', the year last worked is 2009 or earlier. In 2011 Census results, because the census did not ask a question about the number of employees at a person's workplace, the reduced method of deriving NS-SeC (which does not require this information) is used.

The concept of a Household Reference Person (HRP) was introduced in the 2001 Census (in common with other government surveys in 2001/2) to replace the traditional concept of the 'head of the household'. HRPs provide an individual person within a household to act as a reference point for producing further derived statistics and for characterising a whole household according to characteristics of the chosen reference person.

This dataset provides Census 2022 estimates for National Statistics Socio-economic Classification (NS-SeC) of people aged 16 and over by sex by age (in 16 categories) in Scotland.

Age

A person's age on Census Day, 20 March 2022. Infants aged under 1 year are classified as 0 years of age.

Sex

This is the sex recorded by the person completing the census. The options were "Female" and "Male". Guidance on answering the question can be found here

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SeC) provides an indication of socio-economic position based on occupation.

To assign a person aged 16 and over to an NS-SeC category their occupation title is combined with information about their employment status, whether they are employed or self-employed and whether or not they supervise other employees. Full-time students are recorded in the ‘full-time students' category regardless of whether they are economically active or not.

Find out more about the National Statistics Socio-economic classification on the ONS website.

Details of classification can be found here

The quality assurance report can be found here

Legacy unique identifier: P00032

Census Key Statistics Table KS14: National Statistics Socio-economic Classification.

For long-term unemployed year last worked is 1999 or earlier.
In the NS-SeC classification; all full time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

'Not classifiable for other reasons' includes people whose occupation has not been coded.

Cells in this table have been randomly adjusted to avoid the release of confidential data. All data is © Crown Copyright 2003. Census day was 29 April 2001.

🇬🇧 영국

Turkey Social Security Institution: Social Sec Coverage: % of Population data was reported at 86.916 % in Aug 2018. This records an increase from the previous number of 86.858 % for Jul 2018. Turkey Social Security Institution: Social Sec Coverage: % of Population data is updated monthly, averaging 83.848 % from Jan 2008 (Median) to Aug 2018, with 128 observations. The data reached an all-time high of 87.453 % in Oct 2017 and a record low of 79.000 % in Apr 2009. Turkey Social Security Institution: Social Sec Coverage: % of Population data remains active status in CEIC and is reported by Social Security Institution . The data is categorized under Global Database’s Turkey – Table TR.G092: Social Pensioner and Insured Statistics: Social Security Institution.

This dataset provides Census 2021 estimates that classify usual residents aged 16 years and over in England and Wales by NS-SEC and by age. The estimates are as at Census Day, 21 March 2021.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Estimates for single year of age between ages 90 and 100+ are less reliable than other ages. Estimation and adjustment at these ages was based on the age range 90+ rather than five-year age bands. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

Age

A person’s age on Census Day, 21 March 2021 in England and Wales. Infants aged under 1 year are classified as 0 years of age.

(by Joseph Kerski)This map is for use in the "What is the spatial pattern of demographic variables around the world?" activity in Section 1 of the Going Places with Spatial Analysiscourse. The map contains population characteristics by country for 2013.These data come from the Population Reference Bureau's 2014 World Population Data Sheet.The Population Reference Bureau (PRB) informs people around the world about population, health, and the environment, empowering them to use that information to advance the well-being of current and future generations.PRB analyzes complex demographic data and research to provide the most objective, accurate, and up-to-date population information in a format that is easily understood by advocates, journalists, and decision makers alike.The 2014 year's data sheet has detailed information on 16 population, health, and environment indicators for more than 200 countries. For infant mortality, total fertility rate, and life expectancy, we have included data from 1970 and 2013 to show change over time. This year's special data column is on carbon emissions.For more information about how PRB compiles its data, see: https://www.prb.org/

Dataset population: Persons aged 16 and over

General health

General health is a self-assessment of a person's general state of health. People were asked to assess whether their health was very good, good, fair, bad or very bad.

For England and Wales, this assessment is not based on a person's health over any specified period of time.

NS-SeC

The National Statistics Socio-economic Classification (NS-SeC) provides an indication of socio-economic position based on occupation. It is an Office for National Statistics standard classification.

To assign a person aged 16 to 74 to an NS-SeC category, their occupation title is combined with information about their employment status, whether they are employed or self-employed and whether or not they supervise other employees. Full-time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

The rebased version of NS-SeC used in census results uses occupation coded to SOC2010. Information about the classification is available here: NS-SEC rebased on SOC2010.

For 'Long-term unemployed', the year last worked is 2009 or earlier. In 2011 Census results, because the census did not ask a question about the number of employees at a person's workplace, the reduced method of deriving NS-SeC (which does not require this information) is used.

Dataset population: Persons aged 16 and over

NS-SeC

The National Statistics Socio-economic Classification (NS-SeC) provides an indication of socio-economic position based on occupation. It is an Office for National Statistics standard classification.

To assign a person aged 16 to 74 to an NS-SeC category, their occupation title is combined with information about their employment status, whether they are employed or self-employed and whether or not they supervise other employees. Full-time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

The rebased version of NS-SeC used in census results uses occupation coded to SOC2010. Information about the classification is available here: NS-SEC rebased on SOC2010.

For 'Long-term unemployed', the year last worked is 2009 or earlier. In 2011 Census results, because the census did not ask a question about the number of employees at a person's workplace, the reduced method of deriving NS-SeC (which does not require this information) is used.

Religion

This is a person's current religion, or if the person does not have a religion, 'No religion'. No determination is made about whether a person was a practicing member of a religion. Unlike other census questions where missing answers are imputed, this question was voluntary and where no answer was provided, the response is categorised as 'Not stated'.

Dataset population: Persons aged 16 to 74

Highest level of qualification

The highest level of qualification is derived from the question asking people to indicate all types of qualifications held. People were also asked if they held foreign qualifications and to indicate the closest equivalent.

There were 12 response options (plus 'no qualifications') covering professional and vocational qualifications, and a range of academic qualifications.

These are combined into five categories for the highest level of qualification, plus a category for no qualifications and one for other qualifications (which includes vocational or work-related qualifications, and for foreign qualifications where an equivalent qualification was not indicated):

• No Qualifications: No academic or professional qualifications
• Level 1 qualifications: 1-4 O Levels/CSE/GCSEs (any grades), Entry Level, Foundation Diploma, NVQ level 1, Foundation GNVQ, Basic/Essential Skills
• Level 2 qualifications: 5+ O Level (Passes)/CSEs (Grade 1)/GCSEs (Grades A*-C), School Certificate, 1 A Level/ 2-3 AS Levels/VCEs, Intermediate/Higher Diploma, Welsh Baccalaureate Intermediate Diploma, NVQ level 2, Intermediate GNVQ, City and Guilds Craft, BTEC First/General Diploma, RSA Diploma
• Apprenticeships
• Level 3 qualifications: 2+ A Levels/VCEs, 4+ AS Levels, Higher School Certificate, Progression/Advanced Diploma, Welsh Baccalaureate Advanced Diploma, NVQ Level 3; Advanced GNVQ, City and Guilds Advanced Craft, ONC, OND, BTEC National, RSA Advanced Diploma
• Level 4+ qualifications: Degree (for example BA, BSc), Higher Degree (for example MA, PhD, PGCE), NVQ Level 4-5, HNC, HND, RSA Higher Diploma, BTEC Higher level, Foundation degree (NI), Professional qualifications (for example teaching, nursing, accountancy)
• Other qualifications: Vocational/Work-related Qualifications, Foreign Qualifications (Not stated/Level unknown)

NS-SeC (alternate classification)

The National Statistics Socio-economic Classification (NS-SEC) provides an indication of socio-economic position based on occupation. It is an Office for National Statistics standard classification. To assign a person to an NS-SeC category, their occupation title is combined with information about their employment status, whether they are employed or self-employed, and whether or not they supervise other employees. Full-time students are recorded in the 'full-time students' category regardless of whether they are economically active or not.

The rebased version of NS-SeC used in census results uses occupation coded to SOC2010. More information can be found on NS-SeC rebased on SOC2010.

The census did not ask a question about the number of employees at a person's workplace and as such, the reduced method of deriving NS-SeC (which does not require this information) is used. Note that the category 'L16: Occupation not stated or inadequately described' is not included in census tables because missing answers are imputed.

This dataset provides Census 2021 estimates that classify Household Reference Persons aged 16 years and over in England and Wales by NS-SEC of Household Reference Person and by household composition. The estimates are as at Census Day, 21 March 2021.

As Census 2021 was during a unique period of rapid change, take care when using this data for planning purposes. Read more about this quality notice.

Data about household relationships might not always look consistent with legal partnership status. This is because of complexity of living arrangements and the way people interpreted these questions. Take care when using these two variables together. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Lower tier local authorities

Lower tier local authorities provide a range of local services. There are 309 lower tier local authorities in England made up of 181 non-metropolitan districts, 59 unitary authorities, 36 metropolitan districts and 33 London boroughs (including City of London). In Wales there are 22 local authorities made up of 22 unitary authorities.

Coverage

Census 2021 statistics are published for the whole of England and Wales. However, you can choose to filter areas by:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

National Statistics Socio-economic Classification (NS-SeC)

The National Statistics Socio-economic Classification (NS-SEC) indicates a person's socio-economic position based on their occupation and other job characteristics.

It is an Office for National Statistics standard classification. NS-SEC categories are assigned based on a person's occupation, whether employed, self-employed, or supervising other employees.

Full-time students are recorded in the "full-time students" category regardless of whether they are economically active.

Household composition

Households according to the relationships between members.

One-family households are classified by:

• the number of dependent children
• family type (married, civil partnership or cohabiting couple family, or lone parent family)

Other households are classified by:

• the number of people
• the number of dependent children
• whether the household consists only of students or only of people aged 66 and over

Thailand Sec Co: Income: Other data was reported at 186.246 THB mn in Mar 2018. This records a decrease from the previous number of 368.135 THB mn for Dec 2017. Thailand Sec Co: Income: Other data is updated quarterly, averaging 169.530 THB mn from Mar 2011 (Median) to Mar 2018, with 29 observations. The data reached an all-time high of 455.608 THB mn in Sep 2016 and a record low of 4.037 THB mn in Dec 2016. Thailand Sec Co: Income: Other data remains active status in CEIC and is reported by Securities and Exchange Commission. The data is categorized under Global Database’s Thailand – Table TH.Z021: Securities Company Statistics.

Sec Co: Assets: SDR: SR: Pledged Assets Account Receivables data was reported at 4,561.493 THB mn in Mar 2018. This records an increase from the previous number of 3,925.265 THB mn for Dec 2017. Sec Co: Assets: SDR: SR: Pledged Assets Account Receivables data is updated quarterly, averaging 6,296.563 THB mn from Mar 2011 (Median) to Mar 2018, with 29 observations. The data reached an all-time high of 17,519.796 THB mn in Sep 2015 and a record low of 1,228.910 THB mn in Mar 2011. Sec Co: Assets: SDR: SR: Pledged Assets Account Receivables data remains active status in CEIC and is reported by Securities and Exchange Commission. The data is categorized under Global Database’s Thailand – Table TH.Z021: Securities Company Statistics.

About this dataset

Context

The dataset tabulates the data for the Section, AL population pyramid, which represents the Section population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey 5-Year estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Section, AL, is 46.5.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Section, AL, is 35.0.
• Total dependency ratio for Section, AL is 81.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Section, AL is 2.9.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Section population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Section for the selected age group is shown in the following column.
• Population (Female): The female population in the Section for the selected age group is shown in the following column.
• Total Population: The total population of the Section for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Section Population by Age. You can refer the same here

Thailand Sec Co: Income: Interest on Margin Loans data was reported at 974.603 THB mn in Jun 2018. This records a decrease from the previous number of 1,007.100 THB mn for Mar 2018. Thailand Sec Co: Income: Interest on Margin Loans data is updated quarterly, averaging 913.544 THB mn from Mar 2017 (Median) to Jun 2018, with 6 observations. The data reached an all-time high of 1,007.100 THB mn in Mar 2018 and a record low of 852.025 THB mn in Sep 2017. Thailand Sec Co: Income: Interest on Margin Loans data remains active status in CEIC and is reported by Securities and Exchange Commission. The data is categorized under Global Database’s Thailand – Table TH.Z022: Securities Company Statistics.