According to a survey conducted in 2023 among rural households in India, nearly 85 percent of parents with some level of education allocated specific study time for their children. In contrast, only about 69 percent of illiterate parents did the same for their children at home.

Crime rate against Children-India

Investigating Crime Trends and Patterns Across India

By Bhavna Chawla [source]

About this dataset

This dataset provides an in-depth look at crime against children throughout India. The data, collected from state and union territories throughout the country, tracks arrests made in response to a variety of crimes including infanticide, murder of children, rape of Children, kidnapping and abduction of children, foeticide, abetment of suicide, exposure and abandonment. Additionally it looks at procuration of minor girls as well as buying or selling minors for prostitution. It also illustrates arrests made related to violation or prevention under the Prohibition Of Child Marriage Act (PCMA).

The dataset paints an unfortunately dark image across India with rising numbers each year - painfully representing the suffering these innocent minors have faced over time. Through this dataset we can not only get a better understanding on who is leading the charge in terms of crime rate but also uncover startling patterns about type specified categories that are particularly egregious when it comes to number of arrests made. By examining this data more closely together we can unravel meaningful solutions which ultimately could help protect our beloved child population from needless harm and distress

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How to use the dataset

This dataset is suitable for researchers interested in learning more about crime against children as well as government planners who may want to analyze which states have higher rates of various types of crimes and identify strategies for managing them.

To use this dataset, start by examining the main columns – STATE/UT, CRIME HEAD, 2001-2012 – which provide additional information about each row such as state or UT name and type of crime committed respectively. Then you can use a visualized comparison to evaluate trends across all the listed years: a look at total numbers or changes over time will help reveal how arrests vary among different categories or within a particular year; it will also identify areas with particularly high numbers that need more attention from policy makers. These visualizations can also be compared with statistics on population density or socio-economic characteristics such as literacy rate or poverty levels to get further insights into characterizing patterns for targeted interventions that could reduce criminal activities towards vulnerable communities.

Additionally, you could use this dataset combined with other external sources/variables (governance measures taken against certain categories etc.) to build predictive models that identify relationships between risks factors associated with higher rate of specific type(s) criminal activities prevailing amongst certain age group(s). Such approaches would help contribute towards evidence informed public safety interventions, public health initiatives and legal systems strengthening over time specifically targeting those districts where higher rates are taking place so that people especially women & girls are protected from any form physical abuse & harassment leading potential threat on their living condition & livelihood opportunities eventually affecting national development levels if left unchecked regularly each year progressing forward

Research Ideas

• This dataset could be used to identify the states with the highest crime rates against children, and explore any potential correlations between crime statistics and social or economic factors in those states.
• This dataset can also be used to analyze state-wise trends over time to assess whether government initiatives aimed at curbing crimes against children have been effective or not.
• The dataset can also help researchers examine which type of crimes are most prevalent in each state/UT and come up with ways to reduce these crimes via policy measures or public outreach programs, etc

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: Crime head-wise persons arrested under crime against children during 2001-2012.csv | Column name | Description | |:---------------|:----------------------------------------------------------------| | STATE/UT | The state or union territory in India. (String) | | CRIME HEAD | The type of crime against chi...

In India in 2022, the crime rate against children in the capital territory of Delhi was at ***** per 100,000 children. This was followed by the union territory of Andaman and Nicobar with *** reported cases per 100,000 child population.

India: Population ages 0-14, percent of total: The latest value from 2024 is 24.62 percent, a decline from 25.06 percent in 2023. In comparison, the world average is 25.79 percent, based on data from 196 countries. Historically, the average for India from 1960 to 2024 is 36.06 percent. The minimum value, 24.62 percent, was reached in 2024 while the maximum of 41.67 percent was recorded in 1965.

The dataset contains year-, state and city-wise compiled data on number and rate of crimes committed against children in the india cities with over 2 million population, as per annual yearly crime records data published by National Crimes Records Bureau (NCRB)

In 2022, more than ** thousand children in India were missing. In comparison to the previous year, the number of missing children in the country increased significantly. Many of these cases were likely to have close links to human trafficking and child labor.

Ministry of Home Affairs, Government of India has defined missing child as 'a person below eighteen years of age, whose whereabouts are not known to the parents, legal guardians and any other persons who may be legally entrusted with the custody of the child, whatever may be the circumstances/causes of disappearance”. The dataset contains the state wise and gender-wise number of children reported missing in a particular year, total number of persons missing including those from previous years, number of persons recovered/traced and those unrecovered/untraced. The dataset also contains the percentage recovery of missing persons which is calculated as the percentage share of total number of persons traced over the total number of persons missing. NCRB started providing detailed data on missing & traced persons including children from 2016 onwards following the Supreme Court’s direction in a Writ Petition. It should also be noted that the data published by NCRB is restricted to those cases where FIRs have been registered by the police in respective States/UTs.

This dataset simulates screen time patterns of 9712 Indian children aged 8 to 18 years, built using real-world trends and scientific studies conducted in India between 2023–2024. It combines urban and rural demographics, reflecting differences in device access, screen habits, and health outcomes.

Screen time is broken down by:

Age and gender

Primary screen device (e.g., smartphone, TV)

Time split between educational and recreational use

Whether screen time exceeds Indian Academy of Pediatrics (IAP) guidelines

Likely health impacts (e.g., poor sleep, eye strain, anxiety)

📊 Background & Motivation In recent years, screen exposure among Indian children has surged, particularly post-COVID. Studies show:

Adolescents average 4–5 hours/day on screens.

Over 70% exceed the healthy recommended screen time.

83% of rural teens report excessive usage.

High screen time correlates with sleep problems, obesity risk, and anxiety.

India IN: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data was reported at 32.900 % in 2024. This records an increase from the previous number of 32.800 % for 2023. India IN: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 41.700 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 50.000 % in 2000 and a record low of 32.800 % in 2023. India IN: Prevalence of Stunting: Height for Age: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social: Health Statistics. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF). Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

According to a survey in September 2023, about ** percent of urban parents reported that their children spent ***** to *** hours each day using social media, OTT, and online games in India. Comparatively, ** percent of Indian parents stated their kids spent more than *** hours using online media every day.

Graph and download economic data for Estimate of Related Children Age 5-17 in Families in Poverty for Indian River County, FL (PE5T17FL12061A647NCEN) from 1989 to 2023 about Indian River County, FL; Sebastian; 5 to 17 years; family; child; poverty; FL; persons; and USA.

Context

The data refers to State wise persons arrested under crime against children by crime head.

Content

The data refers to State/UT wise persons arrested under crime against children by crime head. The various crime categories under the crime head are Infanticide, Murder Of Children, Rape Of Children, Kidnapping And Abduction Of Children, Foeticide, Abetment Of Suicide, Exposure And Abandonment, Procuration Of Minor Girls, Buying Of Girls For Prostitution, Selling Of Girls For Prostitution, Prohibition Of Child Marriage Act and Other Crimes Against Children.

Acknowledgements

data.gov.in

Actual value and historical data chart for India Immunization Hib3 Percent Of Children Ages 12 23 Months

India IN: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data was reported at 3.700 % in 2024. This records an increase from the previous number of 3.400 % for 2023. India IN: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data is updated yearly, averaging 2.300 % from Dec 2000 (Median) to 2024, with 25 observations. The data reached an all-time high of 3.700 % in 2024 and a record low of 2.100 % in 2013. India IN: Prevalence of Overweight: Weight for Height: % of Children Under 5, Modeled Estimate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s India – Table IN.World Bank.WDI: Social: Health Statistics. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's 2006 Child Growth Standards.;UNICEF, WHO, World Bank: Joint child Malnutrition Estimates (JME).;Weighted average;Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues. Estimates are modeled estimates produced by the JME. Primary data sources of the anthropometric measurements are national surveys. These surveys are administered sporadically, resulting in sparse data for many countries. Furthermore, the trend of the indicators over time is usually not a straight line and varies by country. Tracking the current level and progress of indicators helps determine if countries are on track to meet certain thresholds, such as those indicated in the SDGs. Thus the JME developed statistical models and produced the modeled estimates.

India: Deaths of children under five years of age per 1000 live births: The latest value from 2022 is 29 deaths per 1000 births, a decline from 31 deaths per 1000 births in 2021. In comparison, the world average is 25 deaths per 1000 births, based on data from 187 countries. Historically, the average for India from 1960 to 2022 is 130 deaths per 1000 births. The minimum value, 29 deaths per 1000 births, was reached in 2022 while the maximum of 242 deaths per 1000 births was recorded in 1960.

India IN: Total Fertility Rate: Children per Woman data was reported at 2.030 Person in 2021. This records a decrease from the previous number of 2.050 Person for 2020. India IN: Total Fertility Rate: Children per Woman data is updated yearly, averaging 2.910 Person from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 4.040 Person in 1990 and a record low of 2.030 Person in 2021. India IN: Total Fertility Rate: Children per Woman data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s India – Table IN.OECD.GGI: Social: Demography: Non OECD Member: Annual.

The under-five mortality rate (U5MR) is a critical indicator used in public health to measure the number of deaths of children under the age of five per 1,000 live births. It provides insight into the overall health and well-being of children within a particular population. In India, the under-five mortality rate has been a focus of public health efforts to reduce child mortality.

Over the years, India has made significant progress in reducing the under-five mortality rate. According to the World Bank data, the U5MR in India has shown a declining trend. However, the exact figures can vary over time and across different sources. Continuous efforts in healthcare, improved access to medical facilities, better nutrition, sanitation, and education have contributed to this positive trend.

If you're looking for specific and up-to-date numbers on India's under-five mortality rate, you might want to refer to databases or reports by organizations such as the World Health Organization (WHO), UNICEF, or the World Bank, which regularly publish statistics related to child health and mortality. These sources often provide detailed, reliable, and updated information about under-five mortality rates in India and globally.

UNICEF's country profile for India, including under-five mortality rates, child health, education and sanitation data.

Forecast: Child Mortality Rate in India 2024 - 2028 Discover more data with ReportLinker!

BackgroundLittle is known about the causes of death in children in India after age five years. The objective of this study is to provide the first ever direct national and sub-national estimates of infectious disease mortality in Indian children aged 5 to 14 years. MethodsA verbal autopsy based assessment of 3 855 deaths is children aged 5 to 14 years from a nationally representative survey of deaths occurring in 2001–03 in 1·1 million homes in India. ResultsInfectious diseases accounted for 58% of all deaths among children aged 5 to 14 years. About 18% of deaths were due to diarrheal diseases, 10% due to pneumonia, 8% due to central nervous system infections, 4% due to measles, and 12% due to other infectious diseases. Nationally, in 2005 about 59 000 and 34 000 children aged 5 to 14 years died from diarrheal diseases and pneumonia, corresponding to mortality of 24·1 and 13·9 per 100 000 respectively. Mortality was nearly 50% higher in girls than in boys for both diarrheal diseases and pneumonia. ConclusionsApproximately 60% of all deaths in this age group are due to infectious diseases and nearly half of these deaths are due to diarrheal diseases and pneumonia. Mortality in this age group from infectious diseases, and diarrhea in particular, is much higher than previously estimated.