A vision of Britain from 1801 to now.
Including maps, statistical trends and historical descriptions.
Variables serve as the dimensions of nCubes, and are generally based on the questions on forms such as the census schedule. However, in the aggregate data held in the Vision of Britain system we do not store the individual responses but counts of the number of each kind of response, so variables are made up of categories, such as age groups.
Datasets or nCubes, containing the actual data:
Entity ID | Entity Name |
---|---|
N_AGCEN_WORKERS_GEN | Farmworkers, as reported by the Agricultural Census |
Variable Groups, bringing together related variables:
Entity ID | Entity Name |
---|---|
VG_AGCEN_WORKERS | Farmworkers |
Variables, defining what data was gathered for :
Entity ID | Entity Name |
---|---|
V_AGCEN_WORKERS_1930 | Agricultural Census Categories for Farmworkers in 1930 |
V_AGCEN_WORKERS_1940 | Agricultural Census Categories for Farmworkers in 1940 |
V_AGCEN_WORKERS_1950 | Agricultural Census Categories for Farmworkers in 1950 |
V_AGCEN_WORKERS_1960 | Agricultural Census Categories for Farmworkers in 1960 |
V_AGCEN_WORKERS_1970 | Agricultural Census Categories for Farmworkers in 1970 |
V_AGCEN_WORKERS_S_1961 | Scottish Agricultural Census Categories for Farmworkers in 1961 |
Categories, defining the values available for each variable :
Entity ID | Entity Name |
---|---|
C_AGCEN_WORKERS_GEN_1 | Regular, Male |
C_AGCEN_WORKERS_GEN_2 | Regular, Female |
C_AGCEN_WORKERS_GEN_3 | Casual, Male |
C_AGCEN_WORKERS_GEN_4 | Casual, Female |
C_AGCEN_WORKERS_GEN_5 | Farmers |