A vision of Britain through time

A vision of Britain from 1801 to now.

Including maps, statistical trends and historical descriptions.

- Table ID:
- AGE_1991_GB_WARD (57127)
- Contents:
- Age-Sex Structure in 5-year bands for frozen 1991 Wards
- Approx. number of rows:
- 10,760
- Table type:
- Raw Data
- Documentation Author:
- Humphrey Southall
- Chronology:
- The data cover the period 1881 to 1911.

- 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".

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

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

Index | Type | Column(s) indexed |
---|---|---|

age_1991_gb_ward_pkey | Primary key | geogcode |

The table has the following associated constraints:

Constraint | Type | Details |
---|---|---|

age_1991_gb_ward_pkey | Primary Key | See details above for primary key index |

Column | Type | Contents |
---|---|---|

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. |