GB Historical DB

Age-Sex Structure in 5-year bands for 2001 Wards or equivalent areas

Table ID:
AGE_2001_GB_WARD     (1246541)
Contents:
Age-Sex Structure in 5-year bands for 2001 Wards or equivalent areas
Approx. number of rows:
9,709
Table type:
Raw Data
Documentation Author:
Humphrey Southall
Chronology:
The data are for the single year 2001.

Sources:

  1. All these data are from Table CS001, "Age by Sex and Resident Type" in the 2001 Census Area Statistics and were downloaded from the CASWEB system on 20th February 2017. However, the reporting areas included vary between the different nations:
    • England: CAS Wards.
    • Wales: CAS Electoral Division.
    • Scotland: ST (Standard Table) Postcode Sector.

Notes:

  1. The original table as downloaded from CASWEB contains five values for each age group: "Total number of persons", "Household Residents: Males", "Household Residents: Females", "Communal Establishment Residents: Males", and "Communal Establishment Residents: Females". However, we have created this simplified permanent table.

Checking:

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

Indices:

IndexTypeColumn(s) indexed
age_2001_gb_ward_pkey Primary key geogcode

Constraints:

The table has the following associated constraints:

ConstraintTypeDetails
age_2001_gb_ward_pkey Primary Key See details above for primary key index


Columns within table:

ColumnTypeContents
nation Text string (max.len.=6). Single letter code identifying the nation the row is for, and consequently the type of unit: E = England, W = Wales, S = Scotland.
geogcode Text string (max.len.=10). Six character alphanumeric code used by the census offices to identify individual wards.
area_name Text string (max.len.=74). Name of the ward or other unit, as provided by CASWEB.
tot_pop Integer number. Total population.
m_tot Integer number. Total number of males.
m_0 Integer number. Males aged under 1 year.
m_1 Integer number. Males aged over 1 year and under 2.
m_2 Integer number. Males aged over 2 years and under 3.
m_3 Integer number. Males aged over 3 years and under 4.
m_4 Integer number. Males aged over 4 years and under 5.
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_19 Integer number. Males 15 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 Integer number. Females aged under 1 year.
f_1 Integer number. Females aged over 1 year and under 2.
f_2 Integer number. Females aged over 2 years and under 3.
f_3 Integer number. Females aged over 3 years and under 4.
f_4 Integer number. Females aged over 4 years and under 5.
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_19 Integer number. Females 15 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.
rec_num Integer number. Sequence number keeping data in the order they were loaded in.