This layer shows state-wise population under different age groups and Child Sex Ratio in 2001 and 2011 as per Economic Survey Report 2024-2025Source of data: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab8.8.pdfThis web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

As per the last census data from 2011, the sex ratio in Mumbai city was ***. This was lower than the sex ratio of the state of Maharashtra. Child sex ratio (in the group of *** years) in the state, however, was ***. Sex ratio refers to the number of females per 1000 males.

This statistic displays the population of children and young adults across India in 2016, broken down by gender and age groups. The population for 11-13 year old males amounted to more than ** million, while their female counterparts were almost **** million. Female numbers were consistently lower than males during the measured time period.

The gender ratio in India as of 2011, by state and union territory can be found here.

The Census 2011 is the 15th National census survey conducted by the Census Organization of India. Mr. C. Chandramouli is the Commissioner & Registrar General of the Indian 2011 Census. The 2011 Indian National Census has been conducted in 2 phases - house listing and population. The national census survey covered all the 28 states of the country and 7 Union territories including 640 districts, 497 cities, 5767 tehsils & over 6 lakh villages. Census demographic data contains information like Households, Population enumeration, Literacy, Sex ratio, Child sex ratio (0–6 age group), etc.Source links for the Data are given below:Census of India, 2011This web layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

This Alberta Official Statistic describes Sex Ratio, Total Dependency Ratio, and Aging Index for Alberta and Canada for two census periods, 2006 and 2011. The sex ratio is the ratio of males to females in a given population, usually expressed as the number of males for every 100 females. The sex ratio at birth in most countries is about 105 or 106 males per 100 females. After birth, sex ratios vary because of different patterns of mortality and migration for males and females within the population. Dependency ratio (age dependency ratio) is the ratio of persons in the "dependent" ages (generally under age 15 and over age 64) to those in the "economically productive" ages (15 - 64 years) in a population. The age-dependency ratio is sometimes divided into old-age dependency (the ratio of people ages 65 and older to those ages 15-64) and child-dependency (the ratio of people under age 15 to those ages 15-64) ratios. The sum of these two is the Total (age) dependency ratio. This ratio is often used as an indicator of the economic burden the productive portion of a population must carry - even though some persons defined as "dependent" are producers and some persons in the "productive" ages are economically dependent. Countries with very high birth rates usually have higher dependency ratios because of the large proportion of children in the population. The Aging Index is the ratio of persons aged 65 years and over to every 100 persons under age 15 years. It is a measure of aging of a population. The aging index shows that Alberta’s population is younger than that of Canada.

This Alberta Official Statistic describes Sex Ratio, Total Dependency Ratio, and Aging Index for Alberta and Canada for two census periods, 2006 and 2011. The sex ratio is the ratio of males to females in a given population, usually expressed as the number of males for every 100 females. The sex ratio at birth in most countries is about 105 or 106 males per 100 females. After birth, sex ratios vary because of different patterns of mortality and migration for males and females within the population. Dependency ratio (age dependency ratio) is the ratio of persons in the "dependent" ages (generally under age 15 and over age 64) to those in the "economically productive" ages (15 - 64 years) in a population. The age-dependency ratio is sometimes divided into old-age dependency (the ratio of people ages 65 and older to those ages 15-64) and child-dependency (the ratio of people under age 15 to those ages 15-64) ratios. The sum of these two is the Total (age) dependency ratio. This ratio is often used as an indicator of the economic burden the productive portion of a population must carry - even though some persons defined as "dependent" are producers and some persons in the "productive" ages are economically dependent. Countries with very high birth rates usually have higher dependency ratios because of the large proportion of children in the population. The Aging Index is the ratio of persons aged 65 years and over to every 100 persons under age 15 years. It is a measure of aging of a population. The aging index shows that Alberta’s population is younger than that of Canada.

As per 2011 census, there were around *********** child workers in the age group of 5-14 years in India. Out of that, a majority of children belonged in the 10-14 year age group. Around *** percent of this category were male child workers and *** percent were female child workers.

Abstract

The Vietnam Multiple Indicator Cluster Survey (MICS 2011) was conducted from December 2010 to January 2011 by the General Statistics Office of Vietnam, in collaboration with the Ministry of Health (MOH) and the Ministry of Labour, Invalids and Social Affairs (MOLISA). Financial and technical support for the survey was provided by the United Nations Children's Fund (UNICEF). Financial support was also provided by the United Nations Population Fund (UNFPA) in Vietnam.

MICS 2011 gives valuable information and the latest evidence on the situation of children and women in Vietnam, updating information from the previous 2006 Vietnam MICS survey as well as earlier data collected in the first two MICS rounds carried out in 1996 and 2000.

The survey presents data from an equity perspective by indicating disparities by sex, region, area, ethnicity, living standards and other characteristics. MICS 2011 is based on a sample of 11,614 households interviewed and provides a comprehensive picture of children and women in Vietnam's six regions.

Geographic coverage

National

Analysis unit

• individuals,
• households.

Universe

The survey covered all de jure household members (usual residents), all women aged between 15-49 years, all children under 5 living in the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

The primary objective of the sample design for the Vietnam MICS 2011 was to produce statistically reliable estimates of most indicators, at the national level, for urban and rural areas, and for the six regions of Vietnam: Red River Delta, Northern Midlands and Mountainous areas, North Central area and Central Coastal area, Central Highlands, South East and Mekong River Delta. Urban and rural areas in each of the six regions were designated as the sampling strata.

A multi-stage, stratified cluster sampling approach was used for the selection of the survey sample.

The target sample size for the Vietnam MICS 2011 was calculated as 12,000 households. For the calculation of the sample size, the key indicator used was the underweight prevalence among children aged 0-4 years.

The resulting number of households from this exercise was 2,050 households which is the sample size needed in each region - thus yielding about 12,000 in total. The average number of households selected per cluster for the Vietnam MICS 2011 was determined as 20 households, based on a number of considerations, including the design effect, the budget available, and the time that would be needed per team to complete one cluster. Dividing the total number of households by the number of sample households per cluster, it was calculated that 100 sample clusters would need to be selected in each region.

Equal allocation of the total sample size to the six regions was used. Therefore, 100 clusters were allocated to each region, with the final sample size calculated at 12,000 households (100 clusters * 6 regions * 20 sample households per cluster). In each region, the clusters (primary sampling units) were distributed to urban and rural domains, proportional to the size of urban and rural populations in that region.

The sampling procedures are more fully described in "Multiple Indicator Cluster Survey 2011 - Final Report" pp.215-218.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Generic MICS were structured questionnaires based on the MICS4 model questionnaire with some modifications and additions. Household questionnaires were administered to a knowledgeable adult living in the household. The household questionnaire includes household listing form, education, water and sanitation, household characteristics, insecticide treated bednets, indoor residual spraying, child labour, child discipline, handwashing and salt Iodisation.

In addition to a household questionnaire, questionnaires were administered in each household for women age 15-49 and children under age five. The questionnaire for children under 5 years of age was administered to mothers or caregivers of all children under 5 years of age living in the households.

The women's questionnaire includes woman's background, child mortality, desire for last birth, maternal and newborn health, illness symptoms, contraception, unmet need, attitudes toward domestic violence, marriage/union, sexual behavior and HIV/AIDS.

The children's questionnaire includes child's age, birth registration, early childhood development, breastfeeding, care of illness, malaria, immunization and anthropometry.

Cleaning operations

Data were entered using CSPro software on eight small computers. Ten operators working in shifts performed data entry under supervision of two data entry supervisors. In order to ensure quality control, all questionnaires were double entered and internal consistency checks were performed. Procedures and standard programs developed under the global MICS 4 programme and adapted to the Viet Nam questionnaire were used throughout. Data processing began on 27 December 2010 and was completed on 21 March 2011. Data were analysed using the Statistical Package for Social Sciences (SPSS) software program, Version 19. The model syntax and tabulation plans developed by UNICEF were used for this purpose.

Response rate

Of the 12,000 households selected for the sample, 11,642 were present at the time of the survey. Of these, 11,614 successfully completed the interview, resulting in a household response rate of 99.8 percent. In the interviewed households, 12,115 women (aged 15-49 years) were identified. Of these, 11,663 completed the interview, yielding a response rate of 96.3 percent compared to eligible respondents in interviewed households. In addition, 3,729 children under 5 years were listed in the household questionnaire. Questionnaires were completed for 3,678 of these children, which corresponds to a response rate of 98.6 percent within interviewed households. The overall response rates (household response rate times the woman and child response rates within households) were 96 and 98.4 percent for the survey of women and of children under 5 years of age, respectively.

Sampling error estimates

Sampling errors are a measure of the variability between the estimates from all possible samples. The extent of variability is not known exactly, but can be estimated statistically from the survey data.

The following sampling error measures are presented in this appendix for each of the selected indicators: - Standard error (se): Sampling errors are usually measured in terms of standard errors for particular indicators (means, proportions etc). Standard error is the square root of the variance of the estimate. The Taylor linearization method is used for the estimation of standard errors. - Coefficient of variation (se/r) is the ratio of the standard error to the value of the indicator, and is a measure of the relative sampling error. - Design effect (deff) is the ratio of the actual variance of an indicator, under the sampling method used in the survey, to the variance calculated under the assumption of simple random sampling. The square root of the design effect (deft) is used to show the efficiency of the sample design in relation to the precision. A deft value of 1.0 indicates that the sample design is as efficient as a simple random sample, while a deft value above 1.0 indicates the increase in the standard error due to the use of a more complex sample design. - Confidence limits are calculated to show the interval within which the true value for the population can be reasonably assumed to fall, with a specified level of confidence. For any given statistic calculated from the survey, the value of that statistic will fall within a range of plus or minus two times the standard error (r + 2.se or r – 2.se) of the statistic in 95 percent of all possible samples of identical size and design.

For the calculation of sampling errors from MICS data, SPSS Version 18 Complex Samples module has been used. The results are shown in the tables that follow. In addition to the sampling error measures described above, the tables also include weighted and unweighted counts of denominators for each indicator.

Sampling errors are calculated for indicators of primary interest, for the national level, for the regions, and for urban and rural areas. Three of the selected indicators are based on households, 8 are based on household members, 13 are based on women, and 15 are based on children under 5. All indicators presented here are in the form of proportions.

Data appraisal

A series of data quality tables are available to review the quality of the data and include the following:

• Age distribution of the household population
• Age distribution of eligible and interviewed women
• Age distribution of children under 5 in household and children under 5 questionnaires
• Completeness of reporting
• Completeness of information for anthropometric indicators
• Heaping in anthropometric measurements
• Observation of bednets places for hand washing
• Observation of women's health cards
• Observation of children under 5 birth certificates
• Observation of vaccination cards
• Presence of mother in the household and the person interviewed for the under-5 questionnaire
• Selection of children age 2-14 years for the child discipline module
• School attendance by single age
• Sex ratio at birth among children ever born and living

The results of each of these data quality tables are shown in appendix D in document "Multiple Indicator Cluster Survey 2011 - Final Report"

【リソース】Volume 1_7-1_Trends in foetal deaths, foetal death rates (per 1,000 total births) and sex ratio:Japan / Volume 1_7-2_Trends in foetal deaths by type of extraction:Japan, urban/rural residence / Volume 1_7-3_Trends in foetal death rates (per 1,000 total births) by type of extraction and proportion of artificial intervention:Japan, urban/rural residence / Volume 1_7-4_Trends in foetal deaths, foetal death rates at 22 completed weeks and over of gestation and proportion by type of extraction:Japan / Volume 1_7-5_Trends in foetal deaths and percent distribution by period of gestation and type of extraction:Japan / Volume 1_7-6_Trends in foetal deaths and foetal death rates (per 1,000 total births) by type of extraction by month:Japan / Volume 1_7-7_Trends in foetal deaths and percent distribution by place of delivery and type of extraction:Japan / Volume 1_7-8_Foetal death rates (per 1,000 total births) by age of mother, type of extraction and type of occupation of household:Japan, 2011 / Volume 1_7-9_Foetal deaths and percent distribution by legitimacy, type of extraction and period of gestation:Japan, 2011 / Volume 1_7-10_Trends in foetal deaths at 22 completed weeks and over of gestation and percent distribution by legitimacy:Japan / Volume 1_7-11_Foetal deaths and percent distribution by place of delivery:Japan, urban/rural residence, each prefecture and 20 major cities, 2011 / Volume 1_7-12_Trends in foetal deaths by each prefecture:Japan / Volume 1_7-13_Trends in foetal death rates (per 1,000 total births) by each prefecture:Japan / Volume 1_7-14_Trends in spontaneous foetal deaths by each prefecture:Japan / Volume 1_7-15_Trends in spontaneous foetal death rates (per 1,000 total births) by each prefecture:Japan / Volume 1_7-16_Trends in artificial foetal deaths by each prefecture:Japan / Volume 1_7-17_Trends in artificial foetal death rates (per 1,000 total births) by each prefecture:Japan / Volume 1_7-18_Foetal deaths and percent distribution by causes:Japan, 2011 / Volume 1_7-19_Foetal deaths and percent distribution of spontaneous by causes on child and maternal condition:Japan, 2011 / Volume 2_1_Foetal deaths by place of delivery for urban/rural residence:Japan, each prefecture and 20 major cities / Volume 2_2_Foetal deaths by type of extraction and place of delivery:Japan, urban/rural residence, each prefecture and 20 major cities / Volume 2_3_Foetal deaths by type of extraction and month of occurrence:Japan, urban/rural residence, each prefecture and 20 major cities / Volume 2_4_Foetal deaths by type of extraction and period of gestation for urban/rural residence:Japan, each prefecture and 20 major cities_(1) Period of gestation (by every 4 weeks) / Volume 2_4_Foetal deaths by type of extraction and period of gestation for urban/rural residence:Japan, each prefecture and 20 major cities_(2) Specified period of gestation / Volume 2_5_Foetal deaths by sex, period of gestation, type of extraction and legitimacy status:Japan_(1) Period of gestation (by every 4 weeks) / Volume 2_5_Foetal deaths by sex, period of gestation, type of extraction and legitimacy status:Japan_(2) Specified period of gestation / Volume 2_6_Foetal deaths by type of extraction, age of mother and type of occupation of household:Japan / Volume 2_7_Foetal deaths at 22 completed weeks and over of gestation by sex and age of mother:Japan, each prefecture and 20 major cities / Volume 2_8_Foetal deaths at 22 completed weeks and over of gestation by type of extraction, place of delivery and time of foetal deaths:Japan, urban/rural residence, each prefecture and 20 major cities / Volume 2_9_Foetal deaths at 22 completed weeks and over of gestation by type of extraction, sex, age of mother and birth order:Japan / Volume 3_1_Foetal deaths by causes (the list of three-character categories), age of mother:Japan / Volume 3_2_Foetal deaths by causes (the list of three-character categories), specified period of gestation:Japan / Volume 3_3_Foetal deaths at 22 completed weeks and over of gestation by causes (the list of three-character categories) and birth weight:Japan / Vital Statistics_Vital statistics of Japan_Final data_Foetal mortality_Yearly_2011 / Volume 1_7-1_Trends in foetal deaths, foetal death rates (per 1,000 total births) and sex ratio:Japan,Volume 1_7-2_Trends in foetal deaths by type of extraction:Japan, urban/rural residence,Volume 1_7-3_Trends in foetal death rates (per 1,000 total births) by type of extraction and proportion of artificial intervention:Japan, urban/rural residence,Volume 1_7-4_Trends in foetal deaths, foetal death rates at 22 completed weeks and over of gestation and proportion by type of extraction:Japan,Volume 1_7-5_Trends in foetal deaths and percent distribution by period of gestation and type of extraction:Japan,Volume 1_7-6_Trends in foetal deaths and foetal death rates (per 1,000 total births) by type of extraction by month:Japan,Volume 1_7-7_Trends in foetal deaths and percent distribution by place

Poisson regression model to evalute incidence rate ratio for age class, gender, period of diagnosis and nationality (2003–2011).

*Number of males per 100 females births.

• Average annual population during the analysed period.** TB incidence rates were calculated as cases per 100,000 population.Cases of tuberculosis in Tuscan population, 1997–2011: age-stratified female:male annual incidence rate ratios and 95% confidence intervals.

Tuberculosis cases in the Tuscan population differentiated by disease site and gender (1997–2011).

1 Cancer in the buccal cavity, esophagus, pancreas, larynx, kidney and bladder.