A vision of Britain from 1801 to now.
Including maps, statistical trends and historical descriptions.
nCubes hold all the statistics presented by the Vision of Britain system, and are defined as combinations of variables. For example, the age-sex tables that appear in most census reports are held as two-dimensional nCubes in which one dimension is a variable categorising sex and the other variable defines a set of age groups. nCubes can have many dimensions, such as age by sex by occupation by cause of death, or just one.
Themes, which organise the database into broad topics:
Entity ID | Entity Name |
---|---|
T_IND | Industry |
Universes, definining what the values in datasets add up to:
Entity ID | Entity Name |
---|---|
U_OVER20 | All persons aged 20 & over |
Variables, defining what data was gathered for :
Entity ID | Entity Name |
---|---|
V_SEX | Sex |
V_OCC_ORD1861 | 1861 Occupational Orders |
Each of our datasets, or nCubes, combines one or more variables (Var) each of which consists of a set of categories. The data map lists all the possible combinations of categories. The cell references are the identifiers held in our main table of statistics, recording what each number measures.
Cell Reference | Var | Category Value |
---|---|---|
OCC_ORD1861_OVER20:male/1 | 1 | Male |
2 | National & Local Government | |
OCC_ORD1861_OVER20:male/2 | 1 | Male |
2 | Defence of the Country | |
OCC_ORD1861_OVER20:male/3 | 1 | Male |
2 | Professions & Arts | |
OCC_ORD1861_OVER20:male/4 | 1 | Male |
2 | Wives, Mothers, Children | |
OCC_ORD1861_OVER20:male/5 | 1 | Male |
2 | Personal [Services] | |
OCC_ORD1861_OVER20:male/6 | 1 | Male |
2 | [Business Persons & Traders] | |
OCC_ORD1861_OVER20:male/7 | 1 | Male |
2 | [Transport] | |
OCC_ORD1861_OVER20:male/8 | 1 | Male |
2 | [Farming] | |
OCC_ORD1861_OVER20:male/9 | 1 | Male |
2 | Engaged about Animals | |
OCC_ORD1861_OVER20:male/10 | 1 | Male |
2 | Art & Mechanic Productions | |
OCC_ORD1861_OVER20:male/11 | 1 | Male |
2 | Textiles & Dress | |
OCC_ORD1861_OVER20:male/12 | 1 | Male |
2 | Food & Drink | |
OCC_ORD1861_OVER20:male/13 | 1 | Male |
2 | Animal Substances | |
OCC_ORD1861_OVER20:male/14 | 1 | Male |
2 | Vegetable Substances | |
OCC_ORD1861_OVER20:male/15 | 1 | Male |
2 | Mineral Substances | |
OCC_ORD1861_OVER20:male/16 | 1 | Male |
2 | KKBranch of Labour undefined | |
OCC_ORD1861_OVER20:male/17 | 1 | Male |
2 | Persons of Rank or Property | |
OCC_ORD1861_OVER20:male/18 | 1 | Male |
2 | Supported by the Community | |
OCC_ORD1861_OVER20:male/19 | 1 | Male |
2 | Unknown | |
OCC_ORD1861_OVER20:female/1 | 1 | Female |
2 | National & Local Government | |
OCC_ORD1861_OVER20:female/2 | 1 | Female |
2 | Defence of the Country | |
OCC_ORD1861_OVER20:female/3 | 1 | Female |
2 | Professions & Arts | |
OCC_ORD1861_OVER20:female/4 | 1 | Female |
2 | Wives, Mothers, Children | |
OCC_ORD1861_OVER20:female/5 | 1 | Female |
2 | Personal [Services] | |
OCC_ORD1861_OVER20:female/6 | 1 | Female |
2 | [Business Persons & Traders] | |
OCC_ORD1861_OVER20:female/7 | 1 | Female |
2 | [Transport] | |
OCC_ORD1861_OVER20:female/8 | 1 | Female |
2 | [Farming] | |
OCC_ORD1861_OVER20:female/9 | 1 | Female |
2 | Engaged about Animals | |
OCC_ORD1861_OVER20:female/10 | 1 | Female |
2 | Art & Mechanic Productions | |
OCC_ORD1861_OVER20:female/11 | 1 | Female |
2 | Textiles & Dress | |
OCC_ORD1861_OVER20:female/12 | 1 | Female |
2 | Food & Drink | |
OCC_ORD1861_OVER20:female/13 | 1 | Female |
2 | Animal Substances | |
OCC_ORD1861_OVER20:female/14 | 1 | Female |
2 | Vegetable Substances | |
OCC_ORD1861_OVER20:female/15 | 1 | Female |
2 | Mineral Substances | |
OCC_ORD1861_OVER20:female/16 | 1 | Female |
2 | KKBranch of Labour undefined | |
OCC_ORD1861_OVER20:female/17 | 1 | Female |
2 | Persons of Rank or Property | |
OCC_ORD1861_OVER20:female/18 | 1 | Female |
2 | Supported by the Community | |
OCC_ORD1861_OVER20:female/19 | 1 | Female |
2 | Unknown |