crime-statistics

Data on crimes against children in each district is a pivotal resource. It offers valuable insights into child safety, aiding policymakers, law enforcement, and communities. By identifying crime trends and hotspots, resources can be directed effectively. It enables the assessment of child protection measures, highlighting areas for improvement. Communities and organizations can use this data for advocacy and awareness campaigns, fostering a safer environment. In essence, it empowers evidence-based policy formulation to ensure the welfare of our nation's youth, reflecting its immense significance in child protection and welfare efforts.

Districtwise Crime Against Children 2016

In Meghalaya, district‑level data on crimes against children is a pivotal resource. It delivers concrete insights into child safety, supporting policymakers, law enforcement, and local communities. By mapping crime trends and pinpointing hotspots, authorities can allocate resources efficiently. The data evaluates existing child protection initiatives, spotlighting gaps that need attention. NGOs and civic groups can leverage this information for advocacy and awareness drives, nurturing a safer environment across the state. Ultimately, it fuels evidence‑based policy decisions that safeguard the wellbeing of Meghalaya’s young population, underscoring its vital role in child welfare.

Districtwise Crime Against Children 2017 onwards

This dataset pertains to crimes committed against Scheduled Castes (SC) in Meghalaya. It provides detailed data by year and district level, further categorized by various crime types defined under different sections of the Indian Penal Code (IPC) and other relevant acts. It serves as a comprehensive repository for understanding the nature, frequency, and geographical distribution of such crimes.

Districtwise Crimes Against SC 2016

This dataset contains information on crimes committed against Scheduled Castes (SC) in Meghalaya, with data available at the district level and classified by year and crime type. It covers offences recorded under relevant sections of the Indian Penal Code (IPC) and other applicable laws. The dataset captures the nature and frequency of reported crimes across districts, supporting analysis of crime patterns and their distribution within the state.

Districtwise Crimes Against SC 2017 onwards

The dataset provides comprehensive data regarding crimes committed against Scheduled Tribes (ST) in Meghalaya. The dataset is sourced from the official database of the National Crime Records Bureau (NCRB), which collects and presents nationwide data on crimes. This dataset specifically details the types of crimes, the number of incidents, and categorizes them based on their Indian Penal Code (IPC) sections. 

Districtwise Crime Against STs 2016

The “Crime Against STs” dataset provides information on crimes committed against Scheduled Tribes (ST) in Meghalaya. The dataset is sourced from the National Crime Records Bureau (NCRB) and includes data on different types of crimes, the number of reported incidents, and their classification under relevant sections of the Indian Penal Code (IPC) and other applicable laws. The data is organized by year and provides information at the state and district levels within Meghalaya.

Districtwise Crime Against STs 2017 onwards

Data on crimes against women in each district holds immense significance for lawmaking and policy formulation. It provides a clear understanding of the prevalence, trends, and patterns of such crimes, enabling evidence-based decision-making. This data helps lawmakers identify areas with high incidence rates, facilitating the allocation of resources and intervention strategies where they are needed most. It also aids in evaluating the effectiveness of existing legal measures and the need for new legislation. Furthermore, this data raises awareness about the challenges women face, fostering a societal and legislative commitment to gender equality and women's safety. Ultimately, it plays a pivotal role in shaping laws and policies aimed at preventing and addressing crimes against women.

Districtwise Crime Against Women 2016

This dataset contains the count of cybercrimes recorded across districts in Meghalaya. It covers reported cyber offences such as hacking, online fraud, identity theft, and other forms of cybercrime. The district-level data helps examine the distribution and patterns of reported cybercrimes across the state. It can support research, law enforcement planning, cybersecurity initiatives, and policy measures aimed at addressing cybercrime and improving online safety.

Districtwise Cyber Crimes 2017 onwards

The “Crime by Juveniles” dataset provides information on offences committed by juveniles in Meghalaya. Sourced from the National Crime Records Bureau (NCRB), it covers various offences classified under different sections of the Indian Penal Code (IPC), including serious crimes such as murder and offences involving the circulation of false or fake news. The district-level data supports analysis of patterns and variations in juvenile involvement in reported crimes across Meghalaya.

Districtwise IPC Crime by Juveniles 2017 onwards

The data of IPC (Indian Penal Code) crimes in each district is a crucial aspect of understanding a region's law and order situation. This data provides valuable insights into the prevalence and nature of criminal activities across districts. Data on IPC crimes in each district is a powerful tool for maintaining law and order, devising crime prevention strategies, and ensuring the safety and security of citizens. It serves as the foundation for evidence-based policymaking and targeted law enforcement efforts.

Districtwise IPC crimes 2016

The “IPC Crime” dataset provides information on crimes recorded under the Indian Penal Code (IPC) across districts in Meghalaya. It captures district-level variations in reported IPC offences and helps examine the distribution and patterns of criminal activity within the state. The data supports research on crime trends, law enforcement planning, resource allocation, and policy measures related to maintaining public safety and addressing reported offences.

Districtwise IPC crimes 2017 onwards

The dataset provides comprehensive data regarding individuals who went missing in different districts of Meghalaya. The dataset segregates the missing persons based on gender (Male, Female, Transgender) and further categorizes them based on age groups. This helps in understanding the demographics of missing persons on a district and state level for the mentioned year.

Districtwise Missing Persons 2017-2020

This dataset provides information on individuals reported missing across districts in Meghalaya. It categorizes missing persons by gender, including male, female, and transgender persons, and further classifies them by age groups. The district-level data helps examine the demographic characteristics and distribution of reported missing persons across the state, supporting research and planning related to missing persons, public safety, and law enforcement.

Districtwise Missing Persons 2021 onwards

The “SLL Crime by Juveniles” dataset contains information on offences committed by juveniles under Special and Local Laws (SLL) in Meghalaya. It includes details on the type of offence, age and gender of juvenile offenders, year of occurrence, and relevant legal outcomes. The district-level data supports analysis of patterns in juvenile involvement in SLL offences across Meghalaya and can inform research, law enforcement planning, and policies related to juvenile crime prevention.

Districtwise SLL Crime by Juveniles 2017 onwards

Data is about the count of SLL crimes in each district provides a foundation for informed lawmaking and effective law enforcement. It guides resource allocation, legislative improvements, community engagement, and collaborative efforts to combat organized crime, ultimately fostering safer and more secure communities.

Districtwise SLL crimes 2016

This dataset contains the count of crimes recorded under Special and Local Laws (SLL) across districts in Meghalaya. It captures district-level variations in reported SLL offences and provides a basis for examining the distribution of such crimes within the state. The data can support research on crime patterns, law enforcement planning, resource allocation, and policy responses related to offences covered under special and local laws.

Districtwise SLL crimes 2017 onwards

Districtwise Crime Against Women 2017 onwards

Crime Statistics

meghalaya

Meghalaya

census-housing

The dataset captures household amenities and the use of census houses across the 7 districts of Meghalaya from Census 2011, reported separately for rural and urban areas. It covers the condition of houses, the materials used for roofs, walls and floors, the number of dwelling rooms, household size and ownership, and access to drinking water, lighting, latrines, bathing facilities and drainage. It also includes the fuel used for cooking, kitchen facilities, the use of banking services, household assets, and the number of census houses by their use.

Census Household Amenities

The Census House Floor Material analysis illuminates the flooring choices in Meghalaya, encompassing both rural and urban areas. It showcases the wide array of materials utilized in different contexts and reveals how decision-making trends have evolved over time.

Census House Floor Material

The Census House Utilization dataset for Meghalaya offers insights into the diverse purposes of census houses in both rural and urban areas. It delineates the various uses, including residential, commercial, educational, hospitality, healthcare, industrial, religious, and other non-residential purposes. The dataset also captures information on the number of locked and vacant houses across different regions.

Census House Utilization

Census Housing

corporate-social-responsibility-csr

Here is the updated information for Meghalaya:

This dataset provides insights into Corporate Social Responsibility (CSR) projects in Meghalaya, aggregating expenditure by social sector, district, and year. It enables stakeholders to understand CSR spending trends, regional disparities, and areas of focus in the state.

CSR Projects: Social Sector Wise Aggregated Expenditure

Corporate Social Responsibility (CSR)

consumer-price-index-cpi

The CPI dataset presents monthly price index and inflation rates for Meghalaya. Using 2012 as the base year, the data comprise seven sub‑group indices: food price inflation, housing, fuel, and other categories for both rural and urban areas, covering the period from January 2014 onwards. The source is the Ministry of Statistics and Programme Implementation (MOSPI).

Consumer Price Index

This dataset provides monthly CPI index values and inflation rates for Megahalaya, recorded at the item level across various sectors, divisions, groups, and classes. It tracks price movements for individual commodities and sub-classes, offering a detailed view of cost-of-living changes within that administrative unit. The records cover the period from 2025 to 2026, with each entry tied to a specific date and base year.

Consumer Price Index - 2024 Base Year

Consumer Price Index (CPI)

agriculture-marketing

The Agriculture Marketing Commodity Wise Daily Report for Meghalaya presents daily price and arrival data for a wide range of agricultural commodities, offering insights into market dynamics, trends, and patterns. This resource is invaluable for policymakers, researchers, and market participants seeking to understand and address the challenges within Meghalaya's agricultural sector, which is crucial to the region's economy and food security.

Agriculture Marketing Commodity Wise Daily Report

The Agricultural Marketing Information Network (AGMARKNET) dataset delivers daily price and arrival data for over 350 commodities and 1,000 varieties of produce sourced from wholesale markets in Meghalaya. Compiled from the state’s Agricultural Produce Market Committees (APMCs), it covers all active markets in Meghalaya as of 31 May 2026, providing a statewide snapshot of commodity flows.

Upload to the AGMARKNET portal renders commodity‑ and variety‑specific price and arrival details readily accessible. Stakeholders can analyse market dynamics, track pricing trends, and extract insights vital for policy formulation and commercial decision‑making. This resource benefits researchers, legislators, and traders seeking to understand challenges and opportunities within Meghalaya’s agricultural sector, a key driver of the state’s rural economy and food security.

APMC Arrivals And Prices (New Source)

The Agricultural Marketing Information Network (AGMARKNET) dataset supplies daily price and arrival data for more than 350 commodities and over 950 variations of produce across wholesale markets nationwide, including every market in Meghalaya. Collected from Agricultural Produce Market Committees (APMCs) and encompassing 5,679 markets as of 26 October 2025, the data reflects every sales point in the state where tea, oranges, bamboo shoots, and local staples reach the market.

Available on the AGMARKNET portal, the information is searchable by commodity or variety and offers real‑time insights into price movements and arrival volumes. Meghalaya’s farmers, agribusiness stakeholders, and state authorities can use the dataset to trace market dynamics, spot seasonal trends, and gauge buying patterns specific to the hilly region. By grounding policy decisions and commercial strategies in up‑to‑date, market‑level evidence, this resource supports the growth of agriculture, enhances food security, and boosts the local economy.

APMC Arrivals And Prices (Old Source)

Agriculture Marketing

land-use-statistics

The Area Under Crops dataset offers district‑level insights into Meghalaya’s cultivated land across years. Data is compiled via the Land Use Statistics Grand Query Reports, enabling users to examine crop‑wise area by district and time. This tool illuminates Meghalaya’s unique cropping patterns, dominance of rice and millet, and regional variations between hilly and valley zones. The dataset allows year‑to‑year and district‑to‑district comparisons using standardized hectare measurements. It serves planners, researchers, and policy makers for agricultural analysis, land‑use planning, and monitoring trends in crop production to guide sustainable development and resource management throughout Meghalaya.

Area Under Crops

In Meghalaya, the Classification of Area dataset delivers district‑level statistics showing how land is categorized into standard uses. It supplies yearly figures on reported area, net area sown, multiple‑cropped area, and total cropped area, as well as detailed classifications and sub‑classifications. The information is organised by year, state (Meghalaya) and district codes, enabling precise regional comparison across the 11 districts. All values follow the Land Use Statistics framework’s standard definitions. The resource helps users assess how Meghalaya’s land is distributed between agricultural, forest, residential and other non‑agricultural uses over time.

Classification of Area

The Crop Wise Irrigated Area resource provides district‑level data on the acreage of crops grown under irrigation across Meghalaya for selected agricultural years. The information is arranged by food group, crop type, sub‑crop, crop name, and growing season, enabling a precise assessment of irrigation span for each crop within the state. It records spatial and seasonal variations using standardized crop codes and geographic markers, allowing cross‑district comparisons. The dataset aids in gauging irrigation practices for individual crops across Meghalaya’s districts, supporting state‑level water‑resource planning. This resource is compiled from the Land Use Statistics Grand Query Reports system.  

Data covers major state crops such as tea, pineapple, maize, and coffee, and includes irrigation methods ranging from traditional open canals to modern drip systems. Seasonal shifts between the wet monsoon and drier spring periods are clearly mapped, helping farmers and planners optimize water use.

Crop Wise Irrigated Area

The Sources of Irrigation dataset delivers district‑level insights into Meghalaya’s irrigated areas across selected farming years. It segments cultivated land by irrigation type, area classification, and sub‑classification, enabling users to differentiate among canals, wells, and other local water‑delivery systems. The data are tagged with standardized geographic codes to facilitate comparisons across time and between districts. Compiled under the Land Use Statistics framework, the dataset is hosted on the Grand Query Reports platform. This resource empowers analysis of Meghalaya’s irrigation infrastructure and water‑use trends at sub‑state granularity. It supports agricultural managers in planning irrigation strategies.

Sources of Irrigation

Land Use Statistics

mothers-program

The "Meghalaya Claim Paid" dataset originates from the Health and Family Welfare Department in Meghalaya. It provides detailed information on claims paid in various districts, including state and district names, state and district codes, as well as monthly data on the number and amount of claims paid.

Claims Paid

This "Mothers ANC Done" dataset is sourced from the MEG Health Portal. It primarily focuses on Antenatal Care (ANC) services provided to mothers across various regions in India. The dataset spans multiple years and offers a detailed breakdown of ANC services by state, district, and block levels. Its primary objective is to track and analyze the reach and effectiveness of ANC services, which are critical for the health of pregnant women and their babies.

Mothers Antenatal Care (ANC) Done

The "Mothers with High Risk" dataset is a comprehensive collection of data focusing on maternal health risks in the state of Meghalaya, India. The dataset is designed to track and analyze the number and percentage of high-risk pregnancies across different administrative levels including states, districts, and blocks. This data is crucial for healthcare professionals, policymakers, and researchers to understand the prevalence of high-risk pregnancies and to implement targeted interventions to improve maternal health outcomes.

Mothers with High Risk

The "Mother Anaemia" dataset is sourced from the Health and Family Welfare Department of Meghalaya. This dataset provides information related to anemia among mothers, encompassing various geographical levels such as state, district, and block. The data spans multiple years and includes key indicators related to the prevalence of anemia among mothers.

Mothers Anaemia Status

The "Meghalaya Deliveries" dataset is sourced from the Health and Family Welfare Department of Meghalaya. It provides information on deliveries in various regions of Meghalaya, including details such as the year of delivery, state name, district name, block name, and relevant codes. The dataset encompasses key metrics like the percentage of institutional deliveries in a block, the total number of deliveries, and the expected number of deliveries.

Mothers Deliveries

The "Mother Registration Reporting" dataset is sourced from the Health and Family Welfare Department of Meghalaya. This dataset provides information on registrations related to pregnancies, specifically focusing on the registration process through the Mother App. The data includes details such as the year of pregnancy reported, state, district, block, registration type, and the number of applicants registered during each trimester.

Mothers Registration Reporting

This dataset, named "Pregnant Women in Meghalaya," is sourced from the Health and Family Welfare Department of Meghalaya. It provides information on pregnancies in the state, including details such as the year, state name, district name, block name, pregnancy type (teenage or adult), total number of pregnant women, percentage of pregnant women, and the number of expected deliveries in each block for a given year.

Pregnant Women in Meghalaya

The "RBSK Screened" dataset encompasses comprehensive data related to the Rashtriya Bal Swasthya Karyakram (RBSK), an initiative aimed at screening and early intervention for children from birth to 18 years to cover 4 'D's viz. Defects at birth, Diseases, Deficiencies, and Development Delays including Disabilities. This dataset specifically focuses on data collected from the state of Meghalaya, India. It includes detailed information on the number of children screened, along with various health parameters and conditions assessed during these screenings.

RBSK Screened

This dataset provides comprehensive information on child vaccination rates in the state of Meghalaya, India. It focuses on the percentage of children vaccinated against various diseases within different administrative divisions of the state. The data is categorized by year and location (state, district, and block levels) and includes specific vaccination types like BCG, Hepatitis B, Vitamin K, and Oral Poliovirus Vaccines.

Zero Day Vaccination

This dataset encompasses vital statistics related to stillbirths in the state of Meghalaya, India. It meticulously records the number and percentage of stillbirths across various administrative levels, including state, district, and block, for each year. The data is instrumental for understanding regional patterns and trends in stillbirth occurrences within the state.

Still Birth Childrens

This dataset, provides a comprehensive overview of underweight children across various administrative levels in Meghalaya, India. It aims to present detailed information regarding the prevalence of underweight children, categorized by year, state, district, and block levels. This data is crucial for understanding the nutritional status of children in this region and for formulating targeted interventions.

Underweight Childrens

The "Infant Deaths," is a comprehensive collection of data specifically focused on the number of infant deaths in the state of Meghalaya, India. It is meticulously compiled to provide a detailed view of infant mortality across various administrative levels, including state, district, and block. The data is critical for understanding regional health trends, especially in infant healthcare, and aids in policy making, resource allocation, and healthcare interventions targeted at reducing infant mortality.

Infant Deaths

The "Maternal Deaths" dataset is a comprehensive collection of data regarding maternal mortality in the state of Meghalaya, India. It provides detailed records of maternal deaths across various administrative levels, including state, district, and block. This dataset is pivotal for understanding the patterns, geographical distribution, and trends in maternal mortality in Meghalaya, which can inform healthcare policies and interventions.

Maternal Deaths

The "Meghalaya Registrations" dataset is sourced from the Health and Family Welfare Department of Meghalaya. It contains information on women registrations in various districts and blocks within the state. The dataset spans multiple years and provides insights into the number of women registered for health-related purposes

Mothers Registration

Mothers Program

horticulture

This dataset provides a quantitative snapshot of horticultural production in Meghalaya between 2011 and 2019. It records annual data on the area and total production across various horticultural categories such as fruits, vegetables, flowers, spices, plantation, aromatic plants, and honey, detailing the scope of agricultural activity in the state.

Area and Production of Horticulture

Horticulture

national-family-health-survey-nfhs

This dataset presents district-level indicators from the National Family Health Survey (NFHS) for Meghalaya, covering population and household characteristics, marriage and fertility, family planning and unmet need, maternal and child health, child feeding and nutrition, adult nutritional status, hypertension and blood sugar levels, tobacco and alcohol use, adult characteristics, and women’s empowerment. It covers 2015-16, 2019-21, and 2023-24, supporting analysis of health, demographic and social conditions across districts of Meghalaya over successive survey periods.

District level NFHS

National Family Health Survey (NFHS)

mgnrega-mahatma-gandhi-national-rural-employment-guarantee-act

This dataset captures MGNREGA job-card registration and worker participation in Meghalaya. It includes information on applied, issued, and active job cards, along with registered and active workers across social and demographic groups. The dataset also records workers covered under IPPE and NRLM-related categories, allowing the distribution and participation of MGNREGA workers to be examined across the state’s reporting areas and over time.

Category Wise Workers

This dataset captures key indicators of MGNREGA registration, employment demand, employment availability, job-card changes, and beneficiary coverage in Meghalaya from 2014–15 to 2025–26. It includes household- and person-level measures of registration and employment, social-category coverage through job cards, employment persondays, households completing 100 days of work, and selected beneficiary groups. The data provides a longitudinal view of MGNREGA participation and employment provision in the state.

Employment Generated

This dataset tracks bank-account ownership among women beneficiaries of rural employment schemes in Meghalaya from 2014–15 to 2025–26. It records women holding joint accounts, total women account holders, and beneficiary workers with accounts, including those who are active. The data is reported at the Gram Panchayat level, allowing changes in women’s access to and participation in formal financial arrangements to be examined across the state.