Census Data - Page 2

This individual (part 3a) dataset is displayed by statistical area 1 geography and contains information on:

• Work and labour force status

• Status in employment

• Occupation – major group, by usual residence address

• Occupation – major group, by workplace address*

• Industry (division), by usual residence address

• Industry (division), by workplace address*

* Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The statistical area 1 dataset for 2018 Census excludes these ‘not further defined’ areas.

This dataset contains counts at statistical area 1 for selected variables from the 2018, 2013, and 2006 censuses. The geography corresponds to 2018 boundaries.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 3a, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

This lookup table relates to the web service 2018 Census individual part 2 by SA1.
The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 2) dataset is displayed by statistical area 1 geography and contains information on:
• Religious affiliation (total responses)
• Cigarette smoking behaviour
• Difficulty seeing even if wearing glasses
• Difficulty hearing even if using a hearing aid
• Difficulty walking or climbing steps
• Difficulty remembering or concentrating
• Difficulty washing all over or dressing
• Difficulty communicating using your usual language for example being understood by others
• Legally registered relationship status
• Partnership status in current relationship
• Individual home ownership
• Number of children born
• Highest qualification
• Study participation
• Total personal income (grouped), including median total personal income
• Sources of personal income (total responses)
• Main means of travel to education, by usual residence address (2018 only)
• Main means of travel to education, by educational institution address (2018 only)

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘Null’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 2, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

This lookup table refers to the web service 2018 Census individual part 3a data by SA1.
The web service contains data from the 2018 Census only, no data from previous censuses has been included.

The individual (part 3a) dataset is displayed by statistical area 1 geography and contains information on:
• Work and labour force status
• Status in employment
• Occupation – major group, by usual residence address
• Occupation – major group, by workplace address (1)
• Industry (division), by usual residence address
• Industry (division), by workplace address (1)

(1) Workplace address is coded from information supplied by respondents about their workplaces. Where respondents do not supply sufficient information, their responses are coded to ‘not further defined’. The statistical area 1 dataset for 2018 Census excludes these ‘not further defined’ areas.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data, and values of ‘Null’ indicate data not collected.

For further information on this dataset please refer to the Statistical area 1 dataset for 2018 Census webpage - footnotes for individual part 3a, Excel workbooks, and CSV files are available to download. Data quality ratings for 2018 Census variables, summarising the quality rating and priority levels for 2018 Census variables, are available.

For information on the statistical area 1 geography please refer to the Statistical standard for geographic areas 2018.

This dataset is the proportion of people in the 2018 Census dataset and data sources used to count them by territorial authority / local board (TALB) geography. Coverage compares the proportion of people counted in the census with the number of people that should have been counted on census night. It is usually expressed as a percentage. We are using interim coverage at this time, with the official post-enumeration survey (PES) coverage rates for the 2018 Census being published by March 2020. The dataset shows that whilst there is variation across territorial authority / local board areas in the proportions of people we counted (from 96.3 to >100%), the interim coverage rates for local areas are generally very high.

Understanding how we counted people will help you to use the census dataset because it provides more information about the data sources used and the composition of the data in terms of the proportion of:

1. census individual forms received.

2. partial census form responses (via the paper dwelling form or online household summary form but did not receive an individual form for the person).

3. admin enumerations (the use of administrative data to add people to the usually resident census population when a census response has not been received).

The higher the proportion of census forms received, the more robust the characteristic data, for example income, occupation, will be within the dataset for variables. This is especially the case where characteristic information cannot be provided from alternative sources such as historic census data, administrative data or imputation.

A csv version of this table is also available (attachment below).