Ward-level employment statistics from the 1991 Census, including unemployment

Table ID:
EMPL_1991_GB_WARD     (6562600)
Contents:
Ward-level employment statistics from the 1991 Census, including unemployment
Approx. number of rows:
10,765
Table type:
Raw Data
Documentation Author:
Humphrey Southall
Chronology:
The data are for the single year 1991.

Sources:

  1. These data are from 1991 Census of Population Table S08, "Economic position: Residents aged 16 and over [100%]", and were downloaded from the NOMIS online system on May 2nd 2016.


Notes:

  1. The data set held here includes all employment categories in the NOMIS table, but that also provides a cross-tabulation by age group.
  2. The table also includes IDs for the local authorities containing the ward, but THIS INFORMATION IS CURRENTLY PROBLEMATIC FOR SCOTLAND.


Checking:

  1. Data are as downloaded; no further checking.


Indices:

IndexTypeColumn(s) indexed
empl_1991_gb_ward_pkey Primary key geogcode


Constraints:

The table has the following associated constraints:

ConstraintTypeDetails
empl_1991_gb_ward_pkey Primary Key See details above for primary key index



Columns within table:

ColumnTypeContents
geogcode Text string (max.len.=14). These are six-character alphanumeric codes defined by ONS, and identify "Frozen" 1991 Wards. The documentation supplied by NOMIS says: "Wards are defined by the Local Government Commissions, and reviews take place on a rolling basis. ONS uses the wards in place at the time of the Census of Population as building blocks for other geographies. Currently, these are 1991 wards. These frozen wards allow the ONS to produce time series on a fixed geographic base. The UK has 11,330 frozen 1991 wards. Ward population counts can vary substantially, even within a single local authority, but the national average is about 5500. More populous electoral wards tend to occur in large urban areas."
lad_geogcode Text string (max.len.=14). ONS ID for the local government district containing the ward.
ward_name Text string (max.len.=56). Name of ward, as supplied by NOMIS.
district_name Text string (max.len.=64). Name of local government district containing the ward, looked up from the 1991 ward polygons table.
m_total Integer number. Males: Total.
m_econ_active Integer number. Males: Economically active .
m_employee_ft Integer number. Males: Economically active - Employees - full time .
m_employee_pt Integer number. Males: Economically active - Employees - part time .
m_self_with_empl Integer number. Males: Economically active - Self-employed - with employees .
m_self_no_empl Integer number. Males: Economically active - Self-employed - without employees .
m_govt_scheme Integer number. Males: Economically active - On a Government scheme .
m_unempl Integer number. Males: Economically active - Unemployed .
m_act_student Integer number. Males: Economically active - Students (incl. above) .
m_inactive Integer number. Males: Economically inactive .
m_inactive_student Integer number. Males: Economically inactive - Students .
m_perm_sick Integer number. Males: Economically inactive - Permanently sick .
m_retired Integer number. Males: Economically inactive - Retired .
m_other_inactive Integer number. Males: Economically inactive - Other inactive .
f_total Integer number. Females: Total.
f_econ_active Integer number. Females: Economically active .
f_employee_ft Integer number. Females: Economically active - Employees - full time .
f_employee_pt Integer number. Females: Economically active - Employees - part time .
f_self_with_empl Integer number. Females: Economically active - Self-employed - with employees .
f_self_no_empl Integer number. Females: Economically active - Self-employed - without employees .
f_govt_scheme Integer number. Females: Economically active - On a Government scheme .
f_unempl Integer number. Females: Economically active - Unemployed .
f_act_student Integer number. Females: Economically active - Students (incl. above) .
f_inactive Integer number. Females: Economically inactive .
f_inactive_student Integer number. Females: Economically inactive - Students .
f_perm_sick Integer number. Females: Economically inactive - Permanently sick .
f_retired Integer number. Females: Economically inactive - Retired .
f_other_inactive Integer number. Females: Economically inactive - Other inactive .
rec_num Integer number. Sequence number keeping rows in order loaded.