Data Dictionary

ID
id
Typ
int4
Etikett
index

ID
station_name
Typ
text
Etikett
Station Name

ID
station_code
Typ
text
Etikett
Station Code

ID
station_type
Typ
text
Etikett
Station Type

ID
station_status
Typ
text
Etikett
Station Status

ID
data_acquisition_mode
Typ
text
Etikett
Data Acquisition Type

ID
agency_name
Typ
text
Etikett
Agency Name

ID
agency_id
Typ
text
Etikett
Agency Id

ID
well_type
Typ
text
Etikett
Well Type

ID
well_aquifer_type
Typ
text
Etikett
Well Aquifer Type

ID
latitude
Typ
numeric
Etikett
Latitude

ID
longitude
Typ
numeric
Etikett
Longitude

ID
date_of_establishment
Typ
date
Etikett
Date of Establishment

ID
data_available_from
Typ
date
Etikett
Data Available From

ID
discharge_data_available
Typ
text
Etikett
Availability of Discharge Data

ID
discharge
Typ
numeric
Etikett
Discharge Volume

ID
well_depth
Typ
numeric
Etikett
Depth of Well

ID
date
Typ
date
Etikett
Data Date

ID
time
Typ
text
Etikett
Time of Data taken

ID
data_type_code
Typ
text
Etikett
Data Type Code

ID
data_type_description
Typ
text
Etikett
Data Type Description

ID
data_value
Typ
numeric
Etikett
Data Value

Mer information

Fält Värde
Data senast uppdaterad 3 juni 2025
Metadata senast uppdaterad 13 juni 2025
Skapad 3 juni 2025
Format CSV
Licens Licens ej angiven
Additional infonan
Data extraction pagehttps://indiawris.gov.in/wris/#/timeseriesdata
Data insightsThis dataset enables detailed spatial and temporal analysis of groundwater trends across India. It supports evaluation of aquifer health, assessment of seasonal and regional water availability, and identification of over-extraction zones. Policymakers can use the insights to develop targeted groundwater conservation measures and improve the management of water resources in vulnerable districts. Researchers may also correlate groundwater data with agricultural or climatic variables to explore broader environmental impacts.
Data last updated19-05-2025
Data retreival date19-05-2025
Datastore activeTrue
District no0
FrequencyOther
Gp no0
GranularityPoint
Has viewsTrue
Id06d6e79c-61ac-46bb-9e03-c7138911c619
Idp readyTrue
Lgd mappingna
MethodologyThe data is sourced from the India Water Resources Information System (India-WRIS) and comprises manually collected groundwater readings from various monitoring stations. These readings include discharge volumes, water levels, and well characteristics. Data collection follows field-based manual techniques coordinated by different water resource agencies, with each record tagged with metadata such as acquisition method, agency, and time of observation.
No indicators3
Package ide068e959-4d85-4287-809d-772bf2b2d83c
Position0
Size478,9 MiB
Skumojs-gwl_manual-ol-pl-abc
Stateactive
States uts no0
Tehsil no0
Url typeupload
Years covered1976-2025
Methodology The data is sourced from the India Water Resources Information System (India-WRIS) and comprises manually collected groundwater readings from various monitoring stations. These readings include discharge volumes, water levels, and well characteristics. Data collection follows field-based manual techniques coordinated by different water resource agencies, with each record tagged with metadata such as acquisition method, agency, and time of observation.
Indicators []
Similar Resources
Granularity Level Point
Data Extraction Page https://indiawris.gov.in/wris/#/timeseriesdata
Data Retreival Date 19-05-2025
Data Last Updated 19-05-2025
Sku mojs-gwl_manual-ol-pl-abc
Dataset Frequency Other
Years Covered 1976-2025
No of States/UT(s) 0
No of Districts 0
No of Tehsils/blocks 0
No of Gram Panchayats 0
Mer information nan
Number of Indicators 3
Insights from the dataset This dataset enables detailed spatial and temporal analysis of groundwater trends across India. It supports evaluation of aquifer health, assessment of seasonal and regional water availability, and identification of over-extraction zones. Policymakers can use the insights to develop targeted groundwater conservation measures and improve the management of water resources in vulnerable districts. Researchers may also correlate groundwater data with agricultural or climatic variables to explore broader environmental impacts.
IDP Ready Yes
LGD Mapping Not Applicable
Mapping Status %
Geo Columns