About this Dataset

Birth Registrations By Calf Breed, Dam Breed And Age January To March 2015

This dataset as reported to the Rural Payments Agency contains Great Britain born cattle only,Cows which have had twins or calved twice in the year will be counted twice in the report, Damage is calculated by the age of the calves date of birth minus the dam date of birth, this is then truncated to the nearest year. E.g a dam calving at 1.9 years will show in the 1 year category, Unknown are those dams which do not have their date of birth recorded, Default are those dams which were born prior to 01 July 1996 that were not registered until 2000 where the keeper did not know their date of birth so a default birth date was given. Attribution statement: © Rural Payments Agency
Publisher name: Rural Payments Agency
Last updated: 2023-11-02T19:53:58Z

Tables

Birth Registrations By Calf Breed, Dam Breed And Age January To March 2015

@ukgov.birth_registrations_by_calf_breed_dam_breed_and_age_ja_fc7d69d4.birth_registrations_by_calf_breed_dam_breed_and_age_ja_fc7d69d4

77.81 kB
4,137 rows
27 columns

CREATE TABLE birth_registrations_by_calf_breed_dam_breed_and_age_ja_fc7d69d4 (
  "sum_of_number_of_births" VARCHAR,
  "unnamed_1" VARCHAR  -- Unnamed: 1,
  "unnamed_2" VARCHAR  -- Unnamed: 2,
  "dam_age_at_calving" BIGINT,
  "unnamed_4" BIGINT  -- Unnamed: 4,
  "unnamed_5" BIGINT  -- Unnamed: 5,
  "unnamed_6" BIGINT  -- Unnamed: 6,
  "unnamed_7" BIGINT  -- Unnamed: 7,
  "unnamed_8" BIGINT  -- Unnamed: 8,
  "unnamed_9" BIGINT  -- Unnamed: 9,
  "unnamed_10" BIGINT  -- Unnamed: 10,
  "unnamed_11" BIGINT  -- Unnamed: 11,
  "unnamed_12" BIGINT  -- Unnamed: 12,
  "unnamed_13" BIGINT  -- Unnamed: 13,
  "unnamed_14" BIGINT  -- Unnamed: 14,
  "unnamed_15" BIGINT  -- Unnamed: 15,
  "unnamed_16" BIGINT  -- Unnamed: 16,
  "unnamed_17" BIGINT  -- Unnamed: 17,
  "unnamed_18" BIGINT  -- Unnamed: 18,
  "unnamed_19" BIGINT  -- Unnamed: 19,
  "unnamed_20" BIGINT  -- Unnamed: 20,
  "unnamed_21" BIGINT  -- Unnamed: 21,
  "unnamed_22" BIGINT  -- Unnamed: 22,
  "unnamed_23" VARCHAR  -- Unnamed: 23,
  "unnamed_24" VARCHAR  -- Unnamed: 24,
  "unnamed_25" VARCHAR  -- Unnamed: 25,
  "unnamed_26" VARCHAR  -- Unnamed: 26
);