A vision of Britain through time

A vision of Britain from 1801 to now.

Including maps, statistical trends and historical descriptions.

- Table ID:
- AGE_2001_GB_WARD (57132)
- Contents:
- Age-Sex Structure in 5-year bands for 2001 Wards or equivalent areas
- Approx. number of rows:
- 9,706
- Table type:
- Raw Data
- Documentation Author:
- Humphrey Southall
- Chronology:
- The data are for the single year 2001.

- 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.

- 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.

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

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

age_2001_gb_ward_pkey | Primary key | geogcode |

The table has the following associated constraints:

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

age_2001_gb_ward_pkey | Primary Key | See details above for primary key index |

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

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. |