nCube : Population totals for computing welfare rates

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.

Identifier:
N_WELFARE_POP
Name:
Population totals for computing welfare rates
Type:
nCube (N)
Root unit:
the United Kingdom ( Show data )
Additive:
No
Cube Display:
Yes
Cube Download:
Yes
Text:
Here we hold a variety of population totals enabling numbers of persons receiving different categories of welfare benefits to be expressed as appropriate rates. These population totals are computed from the reports of the Census of Population, but need to be held for the dates of the welfare counts; in the case of the Poor Law system, this means the 1st of January and the 1st of July in each year. The data have therefore been interpolated using statistics from the censuses before and after the welfare reporting date.

Data available for download:

Data for these unit types and dates are available to UK Federation members for download — select one:

Unit Type Date Data Count

January, 1859 7

July, 1859 7

January, 1860 7

July, 1860 7

January, 1861 7

July, 1861 7

January, 1862 7

July, 1862 7

January, 1863 7

July, 1863 7

January, 1864 7

July, 1864 7

January, 1865 7

July, 1865 7

January, 1866 7

July, 1866 7

January, 1867 7

July, 1867 7

January, 1868 7

July, 1868 7

January, 1869 7

July, 1869 7

January, 1870 7

July, 1870 7

January, 1871 7

July, 1871 7

January, 1872 7

July, 1872 7

January, 1873 7

July, 1873 7

January, 1874 7

July, 1874 7

January, 1875 7

July, 1875 7

January, 1876 7

July, 1876 7

January, 1877 7

July, 1877 7

January, 1878 7

July, 1878 7

January, 1879 7

July, 1879 7

January, 1880 7

July, 1880 7

January, 1881 7

July, 1881 7

January, 1882 7

July, 1882 7

January, 1883 7

July, 1883 7

January, 1884 7

July, 1884 7

January, 1885 7

July, 1885 7

January, 1886 7

July, 1886 7

January, 1887 7

July, 1887 7

January, 1888 7

July, 1888 7

January, 1889 7

July, 1889 7

January, 1890 7

July, 1890 7

January, 1891 7

July, 1891 7

January, 1892 7

July, 1892 7

January, 1893 7

July, 1893 7

January, 1894 7

July, 1894 7

January, 1895 7

July, 1895 7

January, 1896 7

July, 1896 7

January, 1897 7

July, 1897 7

January, 1898 7

July, 1898 7

January, 1899 7

July, 1899 7

January, 1900 7

July, 1900 7

January, 1901 7

July, 1901 7

January, 1902 7

July, 1902 7

January, 1903 7

July, 1903 7

January, 1904 7

July, 1904 7

January, 1905 7

July, 1905 7

January, 1906 7

July, 1906 7

January, 1907 7

July, 1907 7

January, 1908 7

July, 1908 7

January, 1909 7

July, 1909 7

January, 1910 7

July, 1910 7

January, 1911 7

July, 1911 4

January, 1912 3

July, 1912 4

January, 1913 4

July, 1913 4

January, 1914 4

July, 1914 4

January, 1915 4

January, 1916 4

January, 1917 4

January, 1918 4

January, 1919 4

January, 1859 89

July, 1859 89

January, 1860 89

July, 1860 89

January, 1861 89

July, 1861 89

January, 1862 89

July, 1862 89

January, 1863 89

July, 1863 89

January, 1864 89

July, 1864 89

January, 1865 89

July, 1865 89

January, 1866 89

July, 1866 89

January, 1867 89

July, 1867 89

January, 1868 89

July, 1868 89

January, 1869 89

July, 1869 89

January, 1870 89

July, 1870 89

January, 1871 89

July, 1871 90

January, 1872 90

July, 1872 90

January, 1873 90

July, 1873 90

January, 1874 90

July, 1874 90

January, 1875 90

July, 1875 90

January, 1876 90

July, 1876 90

January, 1877 90

July, 1877 90

January, 1878 90

July, 1878 90

January, 1879 90

July, 1879 90

January, 1880 90

July, 1880 90

January, 1881 90

July, 1881 90

January, 1882 90

July, 1882 90

January, 1883 90

July, 1883 90

January, 1884 90

July, 1884 90

January, 1885 90

July, 1885 90

January, 1886 90

July, 1886 90

January, 1887 90

July, 1887 90

January, 1888 90

July, 1888 90

January, 1889 90

July, 1889 90

January, 1890 90

July, 1890 90

January, 1891 90

July, 1891 90

January, 1892 90

July, 1892 90

January, 1893 90

July, 1893 90

January, 1894 90

July, 1894 90

January, 1895 90

July, 1895 90

January, 1896 90

July, 1896 90

January, 1897 90

July, 1897 90

January, 1898 90

July, 1898 90

January, 1899 90

July, 1899 90

January, 1900 90

July, 1900 90

January, 1901 90

July, 1901 90

January, 1902 90

July, 1902 90

January, 1903 90

July, 1903 90

January, 1904 90

July, 1904 90

January, 1905 110

July, 1905 110

January, 1906 110

July, 1906 110

January, 1907 110

July, 1907 110

January, 1908 110

July, 1908 110

January, 1909 110

July, 1909 110

January, 1910 110

July, 1910 110

January, 1911 110

July, 1911 55

January, 1912 55

July, 1912 55

January, 1913 55

July, 1913 55

January, 1914 55

July, 1914 55

January, 1915 55

January, 1916 1

January, 1917 1

January, 1918 1

January, 1919 1

nCube " Population totals for computing welfare rates " is contained within:


Themes, which organise the database into broad topics:

Entity ID Entity Name
T_WK Work and Poverty

Universes, definining what the values in datasets add up to:

Entity ID Entity Name
U_WELFARE_POP Total population, as listed in welfare reports



nCube " Population totals for computing welfare rates " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_WELFARE_POP Total population as listed in welfare reports



Population totals for computing welfare rates: Data map listing


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
WELFARE_POP:total 1 Total population
WELFARE_POP:ab_males 1 Able-bodied males