Data Dictionary

ID
id
Type
int4
Label
index

ID
year
Type
text
Label
Year

ID
state_name
Type
text
Label
State Name

ID
state_code
Type
text
Label
State Code

ID
district_name
Type
text
Label
District Name

ID
district_code
Type
text
Label
District Code

ID
species_type
Type
text
Label
Species Type

ID
species_name
Type
text
Label
Species Name

ID
male_count
Type
numeric
Label
Male Count

ID
female_count
Type
numeric
Label
Female Count

Yderligere information

Felt Værdi
Data last updated 4. december 2025
Metadata last updated 4. december 2025
Oprettet 3. december 2025
Format CSV
Licens Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://bharatpashudhan.ndlm.co.in/keyStatistics?key=1&pageLabel=Pashu%20Aadhaar
Data insightsThis dataset enables analysis of livestock registration trends over time and across regions, facilitating comparative studies by species, gender distribution, and flock vs. individual registrations. It supports evaluating the reach and effectiveness of traceability systems, and assessing programmatic coverage at regional levels. Policymakers can leverage this data to identify gaps in livestock registration systems, plan resource allocation for veterinary services, and monitor the impact of NDLM-driven modernization efforts. The NDLM’s traceability mechanisms also open opportunities to streamline disease surveillance, breeding programs, and public health interventions.
Data last updated05-08-2025
Data retreival date06-09-2025
Datastore activeTrue
District no764
FrequencyYearly
Gp no0
GranularityDistrict
Has viewsTrue
Id04c3a420-e9ae-44b8-9dee-eb456550667c
Idp readyFalse
MethodologyThe dataset is sourced from the Bharat Pashudhan database, an integrated livestock management system developed jointly by the Department of Animal Husbandry & Dairying (DAHD) and National Dairy Development Board (NDDB) under NDLM. Animal registrations are carried out using a unique 12-digit Pashu Aadhaar tag and are uploaded via the Bharat Pashudhan app or portal. The dataset likely aggregates records from state-administered livestock tagging and registration systems, managed through a national digital infrastructure.
Mimetypetext/csv
No indicators2
Package id1f50500f-ae42-4f5f-a9a0-a363dae396ca
Position0
Size1,5 Mb
Skudoahd-pashu_aadhaar-dl-yr-abc
Stateactive
States uts no36
Tags['Livestock Registration', 'Pashu Aadhaar', 'Digital Traceability', 'NDLM', 'DAHD', 'NDDB', 'Livestock Policy', 'Indian Livestock Sector', 'Animal Tagging', 'Dataset']
Tehsil no0
Url typeupload
Village no0
Years covered2021-2025
Methodology The dataset is sourced from the Bharat Pashudhan database, an integrated livestock management system developed jointly by the Department of Animal Husbandry & Dairying (DAHD) and National Dairy Development Board (NDDB) under NDLM. Animal registrations are carried out using a unique 12-digit Pashu Aadhaar tag and are uploaded via the Bharat Pashudhan app or portal. The dataset likely aggregates records from state-administered livestock tagging and registration systems, managed through a national digital infrastructure.
Indicators
Similar Resources
Granularity Level District
Data Extraction Page https://bharatpashudhan.ndlm.co.in/keyStatistics?key=1&pageLabel=Pashu%20Aadhaar
Data Retreival Date 06-09-2025
Data Last Updated 05-08-2025
Sku doahd-pashu_aadhaar-dl-yr-abc
Dataset Frequency Yearly
Years Covered 2021-2025
No of States/UT(s) 36
No of Districts 764
No of Tehsils/blocks 0
No of Gram Panchayats 0
Yderligere information nan
Number of Indicators 2
Insights from the dataset This dataset enables analysis of livestock registration trends over time and across regions, facilitating comparative studies by species, gender distribution, and flock vs. individual registrations. It supports evaluating the reach and effectiveness of traceability systems, and assessing programmatic coverage at regional levels. Policymakers can leverage this data to identify gaps in livestock registration systems, plan resource allocation for veterinary services, and monitor the impact of NDLM-driven modernization efforts. The NDLM’s traceability mechanisms also open opportunities to streamline disease surveillance, breeding programs, and public health interventions.
IDP Ready No
LGD Mapping
Mapping Status %