GB Historical DB

Age-Sex Structure in 5-year bands for frozen 1991 Wards

Table ID:
AGE_1991_GB_WARD     (1246536)
Contents:
Age-Sex Structure in 5-year bands for frozen 1991 Wards
Approx. number of rows:
10,764
Table type:
Raw Data
Documentation Author:
Humphrey Southall
Chronology:
The data are for the single year 1991.

Sources:

  1. These data are taken from Table S02, "Age and marital status: Residents [100%]", in the 1991 Small Area Statistics, and were downloaded from the NOMIS system on 11th June 2016. We have included all available age groups for men and for women, but the full table also breaks down each gender into "Single Widowed Divorced" and "Married".

Notes:

  1. We have added the names and ONS IDs for the local authority districts containing each ward.

Checking:

  1. No checking; the data are as they were downloaded from NOMIS.

Indices:

IndexTypeColumn(s) indexed
age_1991_gb_ward_pkey Primary key geogcode

Constraints:

The table has the following associated constraints:

ConstraintTypeDetails
age_1991_gb_ward_pkey Primary Key See details above for primary key index


Columns within table:

ColumnTypeContents
geogcode Text string (max.len.=10). Six character alphanumeric code used by the census offices to identify individual wards.
ward_name Text string (max.len.=56). Name of the ward, as provided by NOMIS.
lad_geogcode Text string (max.len.=14). ONS ID for the local government district containing the ward.
district_name Text string (max.len.=64). Name of local government district containing the ward, looked up from the 1991 ward polygons table.
tot_pop Integer number. Total population. This is not in the NOMIS data, and has been computed by us as the sum of m_tot and f_tot.
m_tot Integer number. Total number of males.
m_0_4 Integer number. Males 0 to 4 years of age.
m_5_9 Integer number. Males 5 to 9 years of age.
m_10_14 Integer number. Males 10 to 14 years of age.
m_15 Integer number. Males 15 years of age.
m_16_17 Integer number. Males 16 to 17 years of age.
m_18_19 Integer number. Males 18 to 19 years of age.
m_20_24 Integer number. Males 20 to 24 years of age.
m_25_29 Integer number. Males 25 to 29 years of age.
m_30_34 Integer number. Males 30 to 34 years of age.
m_35_39 Integer number. Males 35 to 39 years of age.
m_40_44 Integer number. Males 40 to 44 years of age.
m_45_49 Integer number. Males 45 to 49 years of age.
m_50_54 Integer number. Males 50 to 54 years of age.
m_55_59 Integer number. Males 55 to 59 years of age.
m_60_64 Integer number. Males 60 to 64 years of age.
m_65_69 Integer number. Males 65 to 69 years of age.
m_70_74 Integer number. Males 70 to 74 years of age.
m_75_79 Integer number. Males 75 to 79 years of age.
m_80_84 Integer number. Males 80 to 84 years of age.
m_85_89 Integer number. Males 85 to 89 years of age.
m_90_up Integer number. Males aged 90 and upwards.
f_tot Integer number. Total number of females.
f_0_4 Integer number. Females 0 to 4 years of age.
f_5_9 Integer number. Females 5 to 9 years of age.
f_10_14 Integer number. Females 10 to 14 years of age.
f_15 Integer number. Females 15 years of age.
f_16_17 Integer number. Females 16 to 17 years of age.
f_18_19 Integer number. Females 18 to 19 years of age.
f_20_24 Integer number. Females 20 to 24 years of age.
f_25_29 Integer number. Females 25 to 29 years of age.
f_30_34 Integer number. Females 30 to 34 years of age.
f_35_39 Integer number. Females 35 to 39 years of age.
f_40_44 Integer number. Females 40 to 44 years of age.
f_45_49 Integer number. Females 45 to 49 years of age.
f_50_54 Integer number. Females 50 to 54 years of age.
f_55_59 Integer number. Females 55 to 59 years of age.
f_60_64 Integer number. Females 60 to 64 years of age.
f_65_69 Integer number. Females 65 to 69 years of age.
f_70_74 Integer number. Females 70 to 74 years of age.
f_75_79 Integer number. Females 75 to 79 years of age.
f_80_84 Integer number. Females 80 to 84 years of age.
f_85_89 Integer number. Females 85 to 89 years of age.
f_90_up Integer number. Females aged 90 and upwards.
m_15_19 Integer number. Males 15 to 19 years of age; computed from m_15 + m_16_17 + m_18_19.
m_85_up Integer number. Males aged 85 and upwards; computed from m_85_89 + m_90_up.
f_15_19 Integer number. Females 15 to 19 years of age; computed from f_15 + f_16_17 + f_18_19.
f_85_up Integer number. Females aged 85 and upwards; computed from f_85_89 + f_90_up.
rec_num Integer number. Sequence number keeping data in the order they were loaded in.