Diccionari de dades

ID
id
Tipus
int4
Etiqueta
index

ID
incorporation_date
Tipus
date
Etiqueta
Date of Incorporation

ID
state_name
Tipus
text
Etiqueta
State Name

ID
state_code
Tipus
text
Etiqueta
State Code

ID
roc
Tipus
text
Etiqueta
Registrar of Company

ID
llp_name
Tipus
text
Etiqueta
LLP Name

ID
llpin
Tipus
text
Etiqueta
LLP Identification Number

ID
llp_status
Tipus
text
Etiqueta
LLP Status

ID
designated_partners
Tipus
numeric
Etiqueta
Designated Partners

ID
total_partners
Tipus
numeric
Etiqueta
Total Partners

ID
obligation_of_contribution
Tipus
numeric
Etiqueta
Obligation Contribution

ID
act_description
Tipus
text
Etiqueta
Activity Description

ID
company_email
Tipus
text
Etiqueta
Company Email

ID
company_address
Tipus
text
Etiqueta
Company Address

Informació addicional

Camp Valor
Última actualització de les dades 13 de març del 2024
Última actualització de les metadades 19 de desembre del 2025
Creat 6 d’octubre del 2023
Format CSV
Llicència Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://www.mca.gov.in/content/mca/global/en/data-and-reports/company-llp-info/incorporated-closed-month.html
Data insightsSome General data insights that can be drawn by dataset : Geographical Distribution: Analyzing the state-wise distribution can provide insights into the popularity of LLP registrations in different regions. Temporal Trends: Examining the dataset over different months and years can reveal trends in LLP registrations over time. Partner Information: Understanding the distribution of the number of partners and designated partners can offer insights into the size and structure of LLPs. Financial Analysis: Exploring the financial details, such as the obligation of contribution, can provide insights into the financial health of LLPs. Industry and Activity: Analyzing the industry and activity descriptions can give an overview of the sectors where LLPs are prevalent
Data last updated2024-02-01 00:00:00
Data retreival date2024-02-01 00:00:00
Datastore activeTrue
FrequencyMonthly
Geo columns['state_code']
GranularityState
Has viewsTrue
Id9579189b-97cb-4d78-aa81-91b0d80da171
Idp readyTrue
Lgd mappingyes
MethodologyMinistry of Corporate Affairs gives the monthly report on registration of companys
Mimetypetext/csv
No indicators3
Package id91d60f24-6a02-4d98-b8f4-2a4c6478c013
Position2
Size67,7 MiB
Skumca-llp_registrations-st-mn-aaa
Stateactive
States uts no37
Tags['Limited Liability Partnership', 'LLP Registration', 'Business Organization', 'Corporate Registration', 'ROC', 'Financial Information', 'Industry', 'Geographical Distribution', 'Temporal Trends.']
Url typeupload
Years covered2016-2023
Methodology Ministry of Corporate Affairs gives the monthly report on registration of companys
Indicators
Similar Resources
Granularity Level State
Data Extraction Page https://www.mca.gov.in/content/mca/global/en/data-and-reports/company-llp-info/incorporated-closed-month.html
Data Retreival Date 2024-02-01 00:00:00
Data Last Updated 2024-02-01 00:00:00
Sku mca-llp_registrations-st-mn-aaa
Dataset Frequency Monthly
Years Covered 2016-2023
No of States/UT(s) 37
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Informació addicional nan
Number of Indicators 3
Insights from the dataset Some General data insights that can be drawn by dataset : Geographical Distribution: Analyzing the state-wise distribution can provide insights into the popularity of LLP registrations in different regions. Temporal Trends: Examining the dataset over different months and years can reveal trends in LLP registrations over time. Partner Information: Understanding the distribution of the number of partners and designated partners can offer insights into the size and structure of LLPs. Financial Analysis: Exploring the financial details, such as the obligation of contribution, can provide insights into the financial health of LLPs. Industry and Activity: Analyzing the industry and activity descriptions can give an overview of the sectors where LLPs are prevalent
IDP Ready Yes
LGD Mapping Yes
Mapping Status %
Geo Columns ['state_code']