nCube : Able-bodied paupers by gender and age

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_PAUPER_IN_OUT
Name:
Able-bodied paupers by gender and age
Type:
nCube (N)
Root unit:
the United Kingdom ( Show data )
Additive:
Yes
Cube Display:
Yes
Cube Download:
Yes
Text:
The exact meaning of the term 'able-bodied', as used in the Poor Law system, is a matter of some controversy but is generally understood to exclude the aged and infirm, and 'lunatics', but to include large numbers who were temporarily ill. The system's reports consistently divide those receiving relief into Men, Women and Children.

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 11

July, 1859 11

January, 1860 11

July, 1860 12

January, 1861 11

July, 1861 12

January, 1862 11

July, 1862 11

January, 1863 11

July, 1863 10

January, 1864 11

July, 1864 12

January, 1865 11

July, 1865 12

January, 1866 11

July, 1866 11

January, 1867 11

July, 1867 11

January, 1868 11

July, 1868 11

January, 1869 12

July, 1869 11

January, 1870 11

July, 1870 11

January, 1871 12

July, 1871 12

January, 1872 12

July, 1872 11

January, 1873 12

July, 1873 11

January, 1874 11

July, 1874 11

January, 1875 11

July, 1875 11

January, 1876 12

July, 1876 12

January, 1877 12

July, 1877 12

January, 1878 11

July, 1878 11

January, 1879 10

July, 1879 9

January, 1880 11

July, 1880 11

January, 1881 10

July, 1881 11

January, 1882 11

July, 1882 11

January, 1883 10

July, 1883 11

January, 1884 11

July, 1884 10

January, 1885 11

July, 1885 10

January, 1886 10

July, 1886 11

January, 1887 12

July, 1887 11

January, 1888 11

July, 1888 11

January, 1889 10

July, 1889 11

January, 1890 11

July, 1890 11

January, 1891 11

July, 1891 11

January, 1892 11

July, 1892 10

January, 1893 11

July, 1893 10

January, 1894 11

July, 1894 11

January, 1895 10

July, 1895 11

January, 1896 11

July, 1896 11

January, 1897 11

July, 1897 10

January, 1898 10

July, 1898 10

January, 1899 11

July, 1899 11

January, 1900 11

July, 1900 8

January, 1901 8

July, 1901 8

January, 1902 8

July, 1902 8

January, 1903 8

July, 1903 8

January, 1904 8

July, 1904 8

January, 1905 8

July, 1905 8

January, 1906 8

July, 1906 8

January, 1907 8

July, 1907 8

January, 1908 8

July, 1908 8

January, 1909 8

July, 1909 8

January, 1910 8

July, 1910 8

January, 1911 8

July, 1911 8

January, 1912 6

July, 1912 8

January, 1913 8

July, 1913 8

January, 1914 8

July, 1914 9

January, 1915 8

January, 1916 4

January, 1917 4

January, 1918 4

January, 1919 8

January, 1859 116

July, 1859 118

January, 1860 120

July, 1860 121

January, 1861 115

July, 1861 119

January, 1862 113

July, 1862 117

January, 1863 115

July, 1863 113

January, 1864 117

July, 1864 116

January, 1865 110

July, 1865 112

January, 1866 115

July, 1866 111

January, 1867 112

July, 1867 111

January, 1868 112

July, 1868 110

January, 1869 116

July, 1869 108

January, 1870 113

July, 1870 108

January, 1871 108

July, 1871 106

January, 1872 108

July, 1872 105

January, 1873 107

July, 1873 109

January, 1874 108

July, 1874 106

January, 1875 102

July, 1875 111

January, 1876 109

July, 1876 109

January, 1877 105

July, 1877 108

January, 1878 105

July, 1878 104

January, 1879 108

July, 1879 108

January, 1880 107

July, 1880 105

January, 1881 109

July, 1881 103

January, 1882 105

July, 1882 104

January, 1883 104

July, 1883 103

January, 1884 105

July, 1884 107

January, 1885 108

July, 1885 109

January, 1886 104

July, 1886 108

January, 1887 106

July, 1887 106

January, 1888 104

July, 1888 107

January, 1889 107

July, 1889 103

January, 1890 110

July, 1890 111

January, 1891 108

July, 1891 109

January, 1892 113

July, 1892 106

January, 1893 108

July, 1893 104

January, 1894 109

July, 1894 106

January, 1895 104

July, 1895 105

January, 1896 110

July, 1896 107

January, 1897 106

July, 1897 110

January, 1898 109

July, 1898 105

January, 1899 109

July, 1899 103

January, 1900 102

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 111

January, 1908 110

July, 1908 110

January, 1909 110

July, 1909 110

January, 1910 110

July, 1910 112

January, 1911 110

July, 1911 110

January, 1912 110

July, 1912 110

January, 1913 110

July, 1913 110

January, 1914 110

July, 1914 111

January, 1915 110

January, 1916 55

January, 1917 55

January, 1918 55

January, 1919 110

nCube " Able-bodied paupers by gender and age " 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_TOT All Persons receiving Welfare Assistance


nCube " Able-bodied paupers by gender and age " contains:


Variables, defining what data was gathered for :

Entity ID Entity Name
V_PAUPER_IN_OUT Pauper categories: Indoor and Outdoor


Able-bodied paupers by gender and age: 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
PAUPER_IN_OUT:indoor 1 Indoor
PAUPER_IN_OUT:outdoor 1 Outdoor
PAUPER_IN_OUT:both 1 Receiving both