Nottinghamshire Administrative County (pre-1974) : Standard Industrial Classification (2007), by sex

Standard Industrial Classification (2007), by sex

Data cube chart.

Data cube chart.

Data for 1931 Sex
2011 Industrial Classification Male Female
A: Agriculture, forestry & fishing 12,730 Show data context 534 Show data context
B: Mining & quarrying 53,434 Show data context 133 Show data context
C: Manufacturing 58,149 Show data context 50,744 Show data context
D: Electricity, gas, steam etc 2,342 Show data context 15 Show data context
E: Water, sewerage & waste mgt 488 Show data context 73 Show data context
F: Construction 12,798 Show data context 153 Show data context
G: Wholesale & retail trade 26,984 Show data context 11,631 Show data context
H: Transport & storage 18,430 Show data context 944 Show data context
I: Accommodation & catering 2,671 Show data context 3,257 Show data context
J: Information & communication 121 Show data context 41 Show data context
K: Financial & insurance 2,744 Show data context 524 Show data context
L: Real estate activities. 626 Show data context 105 Show data context
M: Professional, scientific & technical 1,645 Show data context 572 Show data context
N: Administrative & support 2 Show data context 6 Show data context
O: Public administration & defence 9,026 Show data context 742 Show data context
P: Education 1,774 Show data context 3,621 Show data context
Q: Human health & social work 1,272 Show data context 2,575 Show data context
R,S: Arts & recreation; other services 4,430 Show data context 3,203 Show data context
T: Activities of households 3,049 Show data context 14,344 Show data context
U: Extraterritorial bodies 1 Show data context 3 Show data context
Data for 1951 Sex
2011 Industrial Classification Male Female
A: Agriculture, forestry & fishing 12,062 Show data context 1,122 Show data context
B: Mining & quarrying 53,575 Show data context 719 Show data context
C: Manufacturing 83,549 Show data context 63,319 Show data context
D: Electricity, gas, steam etc 3,891 Show data context 294 Show data context
E: Water, sewerage & waste mgt 446 Show data context 9 Show data context
F: Construction 20,854 Show data context 583 Show data context
G: Wholesale & retail trade 29,287 Show data context 17,797 Show data context
H: Transport & storage 21,512 Show data context 2,799 Show data context
I: Accommodation & catering 3,072 Show data context 8,372 Show data context
J: Information & communication 0 Show data context 0 Show data context
K: Financial & insurance 3,484 Show data context 1,510 Show data context
L: Real estate activities. 0 Show data context 0 Show data context
M: Professional, scientific & technical 2,122 Show data context 1,130 Show data context
N: Administrative & support 0 Show data context 0 Show data context
O: Public administration & defence 26,491 Show data context 5,570 Show data context
P: Education 3,387 Show data context 4,692 Show data context
Q: Human health & social work 2,832 Show data context 6,117 Show data context
R,S: Arts & recreation; other services 5,742 Show data context 4,662 Show data context
T: Activities of households 1,092 Show data context 4,716 Show data context
U: Extraterritorial bodies 0 Show data context 0 Show data context

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nCube definition


Numbers of the two sexes tend to be balanced. Military bases led to higher proportions of men, while large numbers of domestic servants created concentrations of women.


How to reference this page:

GB Historical GIS / University of Portsmouth, Nottinghamshire Administrative County (pre-1974) through time | Historical Statistics on Industry | Standard Industrial Classification (2007), by sex, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10025035/cube/INDUSTRY_GEN_SEX

Date accessed: 10th April 2026