Population: Nagaland data was reported at 2.253 Person mn in 2024. This records an increase from the previous number of 2.233 Person mn for 2023. Population: Nagaland data is updated yearly, averaging 1.991 Person mn from Mar 1994 (Median) to 2024, with 31 observations. The data reached an all-time high of 2.259 Person mn in 2004 and a record low of 1.370 Person mn in 1994. Population: Nagaland data remains active status in CEIC and is reported by Ministry of Statistics and Programme Implementation. The data is categorized under Global Database’s India – Table IN.GAA001: Population. [COVID-19-IMPACT]

Census: Population: Nagaland: Dimapur: Female data was reported at 58,534.000 Person in 03-01-2011. This records an increase from the previous number of 44,353.000 Person for 03-01-2001. Census: Population: Nagaland: Dimapur: Female data is updated decadal, averaging 18,738.000 Person from Mar 1961 (Median) to 03-01-2011, with 6 observations. The data reached an all-time high of 58,534.000 Person in 03-01-2011 and a record low of 2,158.000 Person in 03-01-1961. Census: Population: Nagaland: Dimapur: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC025: Census: Population: By Towns and Urban Agglomerations: Nagaland.

Census: Population: Nagaland: Mokokchung data was reported at 35,913.000 Person in 03-01-2011. This records an increase from the previous number of 31,214.000 Person for 03-01-2001. Census: Population: Nagaland: Mokokchung data is updated decadal, averaging 21,431.500 Person from Mar 1961 (Median) to 03-01-2011, with 6 observations. The data reached an all-time high of 35,913.000 Person in 03-01-2011 and a record low of 6,158.000 Person in 03-01-1961. Census: Population: Nagaland: Mokokchung data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC025: Census: Population: By Towns and Urban Agglomerations: Nagaland.

According to the 76th round of the NSO survey conducted between July and December 2018, a slightly higher percentage of disabled females was present in Nagaland. The northeast Indian state had an equal share of women with disability at 1.1 percent in rural and urban areas. The National Statistical Office (NSO) is the statistical wing of the Ministry of Statistics and Programme Implementation (MOSPI), mainly responsible for laying down standards for statistical analysis, data collection, and implementation.

Census: Population: Nagaland: Kohima data was reported at 99,039.000 Person in 03-01-2011. This records an increase from the previous number of 77,030.000 Person for 03-01-2001. Census: Population: Nagaland: Kohima data is updated decadal, averaging 5,685.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 99,039.000 Person in 03-01-2011 and a record low of 2,423.000 Person in 03-01-1911. Census: Population: Nagaland: Kohima data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC025: Census: Population: By Towns and Urban Agglomerations: Nagaland.

The statistic displays the literacy rate in Nagaland in India between 1991 and 2011, broken down by gender. In 2001, just over ** percent of the male population in Nagaland knew how to read or write. India's literacy rate from 1981 through 2011 can be found here.

The North-Eastern region (NER) of India, comprising of Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland and Tripura, is a hot spot for genetic diversity and the most probable origin of rice. North-east rice collections are known to possess various agronomically important traits like biotic and abiotic stress tolerance, unique grain and cooking quality. The genetic diversity and associated population structure of 6,984 rice accessions, originating from NER, were assessed using 36 genome wide unlinked single nucleotide polymorphism (SNP) markers distributed across the 12 rice chromosomes. All of the 36 SNP loci were polymorphic and bi-allelic, contained five types of base substitutions and together produced nine types of alleles. The polymorphic information content (PIC) ranged from 0.004 for Tripura to 0.375 for Manipur and major allele frequency ranged from 0.50 for Assam to 0.99 for Tripura. Heterozygosity ranged from 0.002 in Nagaland to 0.42 in Mizoram and gene diversity ranged from 0.006 in Arunachal Pradesh to 0.50 in Manipur. The genetic relatedness among the rice accessions was evaluated using an unrooted phylogenetic tree analysis, which grouped all accessions into three major clusters. For determining population structure, populations K = 1 to K = 20 were tested and population K = 3 was present in all the states, with the exception of Meghalaya and Manipur where, K = 5 and K = 4 populations were present, respectively. Principal Coordinate Analysis (PCoA) showed that accessions were distributed according to their population structure. AMOVA analysis showed that, maximum diversity was partitioned at the individual accession level (73% for Nagaland, 58% for Arunachal Pradesh and 57% for Tripura). Using POWERCORE software, a core set of 701 accessions was obtained, which accounted for approximately 10% of the total NE India collections, representing 99.9% of the allelic diversity. The rice core set developed will be a valuable resource for future genomic studies and crop improvement strategies.

Census: Population: by Religion: Buddhist: Nagaland data was reported at 6,759.000 Person in 03-01-2011. This records an increase from the previous number of 1,356.000 Person for 03-01-2001. Census: Population: by Religion: Buddhist: Nagaland data is updated decadal, averaging 4,057.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 6,759.000 Person in 03-01-2011 and a record low of 1,356.000 Person in 03-01-2001. Census: Population: by Religion: Buddhist: Nagaland data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE006: Census: Population: by Religion: Buddhist.

Census: Population: Nagaland data was reported at 1,978,502.000 Person in 03-01-2011. This records a decrease from the previous number of 1,990,036.000 Person for 03-01-2001. Census: Population: Nagaland data is updated decadal, averaging 291,087.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 1,990,036.000 Person in 03-01-2001 and a record low of 101,550.000 Person in 03-01-1901. Census: Population: Nagaland data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.

2 249 695 (Persons) in décembre 2020.

Comprehensive population and demographic data for Naga-Namgor Village

Census: Population: Nagaland: Urban data was reported at 570,966.000 Person in 03-01-2011. This records an increase from the previous number of 342,787.000 Person for 03-01-2001. Census: Population: Nagaland: Urban data is updated decadal, averaging 456,876.500 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 570,966.000 Person in 03-01-2011 and a record low of 342,787.000 Person in 03-01-2001. Census: Population: Nagaland: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB003: Census: Population: by Stratum.

Comprehensive population and demographic data for United Naga Village Village

Comprehensive population and demographic data for Razieba Tehsil

Comprehensive population and demographic data for Naga Bari (32) Village

Vital Statistics: Birth Rate: per 1000 Population: Nagaland data was reported at 12.500 NA in 2020. This records a decrease from the previous number of 12.700 NA for 2019. Vital Statistics: Birth Rate: per 1000 Population: Nagaland data is updated yearly, averaging 15.350 NA from Dec 1999 (Median) to 2020, with 18 observations. The data reached an all-time high of 17.500 NA in 2008 and a record low of 11.800 NA in 1999. Vital Statistics: Birth Rate: per 1000 Population: Nagaland data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH002: Vital Statistics: Birth Rate: by States.

Comprehensive population and demographic data for Ongpangkong (N) Tehsil

Census: Population: by Religion: Muslim: Nagaland data was reported at 48,963.000 Person in 03-01-2011. This records an increase from the previous number of 35,005.000 Person for 03-01-2001. Census: Population: by Religion: Muslim: Nagaland data is updated decadal, averaging 41,984.000 Person from Mar 2001 (Median) to 03-01-2011, with 2 observations. The data reached an all-time high of 48,963.000 Person in 03-01-2011 and a record low of 35,005.000 Person in 03-01-2001. Census: Population: by Religion: Muslim: Nagaland data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAE003: Census: Population: by Religion: Muslim.

Comprehensive population and demographic data for Ghathashi Tehsil

Abstract

The National Family Health Surveys (NFHS) programme, initiated in the early 1990s, has emerged as a nationally important source of data on population, health, and nutrition for India and its states. The 2005-06 National Family Health Survey (NFHS-3), the third in the series of these national surveys, was preceded by NFHS-1 in 1992-93 and NFHS-2 in 1998-99. Like NFHS-1 and NFHS-2, NFHS-3 was designed to provide estimates of important indicators on family welfare, maternal and child health, and nutrition. In addition, NFHS-3 provides information on several new and emerging issues, including family life education, safe injections, perinatal mortality, adolescent reproductive health, high-risk sexual behaviour, tuberculosis, and malaria. Further, unlike the earlier surveys in which only ever-married women age 15-49 were eligible for individual interviews, NFHS-3 interviewed all women age 15-49 and all men age 15-54. Information on nutritional status, including the prevalence of anaemia, is provided in NFHS3 for women age 15-49, men age 15-54, and young children.

A special feature of NFHS-3 is the inclusion of testing of the adult population for HIV. NFHS-3 is the first nationwide community-based survey in India to provide an estimate of HIV prevalence in the general population. Specifically, NFHS-3 provides estimates of HIV prevalence among women age 15-49 and men age 15-54 for all of India, and separately for Uttar Pradesh and for Andhra Pradesh, Karnataka, Maharashtra, Manipur, and Tamil Nadu, five out of the six states classified by the National AIDS Control Organization (NACO) as high HIV prevalence states. No estimate of HIV prevalence is being provided for Nagaland, the sixth high HIV prevalence state, due to strong local opposition to the collection of blood samples.

NFHS-3 covered all 29 states in India, which comprise more than 99 percent of India's population. NFHS-3 is designed to provide estimates of key indicators for India as a whole and, with the exception of HIV prevalence, for all 29 states by urban-rural residence. Additionally, NFHS-3 provides estimates for the slum and non-slum populations of eight cities, namely Chennai, Delhi, Hyderabad, Indore, Kolkata, Meerut, Mumbai, and Nagpur. NFHS-3 was conducted under the stewardship of the Ministry of Health and Family Welfare (MOHFW), Government of India, and is the result of the collaborative efforts of a large number of organizations. The International Institute for Population Sciences (IIPS), Mumbai, was designated by MOHFW as the nodal agency for the project. Funding for NFHS-3 was provided by the United States Agency for International Development (USAID), DFID, the Bill and Melinda Gates Foundation, UNICEF, UNFPA, and MOHFW. Macro International, USA, provided technical assistance at all stages of the NFHS-3 project. NACO and the National AIDS Research Institute (NARI) provided technical assistance for the HIV component of NFHS-3. Eighteen Research Organizations, including six Population Research Centres, shouldered the responsibility of conducting the survey in the different states of India and producing electronic data files.

The survey used a uniform sample design, questionnaires (translated into 18 Indian languages), field procedures, and procedures for biomarker measurements throughout the country to facilitate comparability across the states and to ensure the highest possible data quality. The contents of the questionnaires were decided through an extensive collaborative process in early 2005. Based on provisional data, two national-level fact sheets and 29 state fact sheets that provide estimates of more than 50 key indicators of population, health, family welfare, and nutrition have already been released. The basic objective of releasing fact sheets within a very short period after the completion of data collection was to provide immediate feedback to planners and programme managers on key process indicators.

Geographic coverage

• National (29 states )
• Regional (for HIV Prevalence : Andhra Pradesh, Karnataka, Maharashtra, Manipur, and Tamil Nadu)
• Local (population and health indicators for slum and non-slum populations for eight cities, namely Chennai, Delhi, Hyderabad, Indore, Kolkata, Meerut, Mumbai, and Nagpur)

Analysis unit

• Household
• Women age 15-49
• Men age 15-59

Universe

The population covered by the 2005 DHS is defined as the universe of all ever-married women age 15-49, NFHS-3 included never married women age 15-49 and both ever-married and never married men age 15-54 as eligible respondents.

Kind of data

Sample survey data

Sampling procedure

SAMPLE SIZE

Since a large number of the key indicators to be estimated from NFHS-3 refer to ever-married women in the reproductive ages of 15-49, the target sample size for each state in NFHS-3 was estimated in terms of the number of ever-married women in the reproductive ages to be interviewed.

The initial target sample size was 4,000 completed interviews with ever-married women in states with a 2001 population of more than 30 million, 3,000 completed interviews with ever-married women in states with a 2001 population between 5 and 30 million, and 1,500 completed interviews with ever-married women in states with a population of less than 5 million. In addition, because of sample-size adjustments required to meet the need for HIV prevalence estimates for the high HIV prevalence states and Uttar Pradesh and for slum and non-slum estimates in eight selected cities, the sample size in some states was higher than that fixed by the above criteria. The target sample was increased for Andhra Pradesh, Karnataka, Maharashtra, Manipur, Nagaland, Tamil Nadu, and Uttar Pradesh to permit the calculation of reliable HIV prevalence estimates for each of these states. The sample size in Andhra Pradesh, Delhi, Maharashtra, Tamil Nadu, Madhya Pradesh, and West Bengal was increased to allow separate estimates for slum and non-slum populations in the cities of Chennai, Delhi, Hyderabad, Indore, Kolkata, Mumbai, Meerut, and Nagpur.

The target sample size for HIV tests was estimated on the basis of the assumed HIV prevalence rate, the design effect of the sample, and the acceptable level of precision. With an assumed level of HIV prevalence of 1.25 percent and a 15 percent relative standard error, the estimated sample size was 6,400 HIV tests each for men and women in each of the high HIV prevalence states. At the national level, the assumed level of HIV prevalence of less than 1 percent (0.92 percent) and less than a 5 percent relative standard error yielded a target of 125,000 HIV tests at the national level.

Blood was collected for HIV testing from all consenting ever-married and never married women age 15-49 and men age 15-54 in all sample households in Andhra Pradesh, Karnataka, Maharashtra, Manipur, Tamil Nadu, and Uttar Pradesh. All women age 15-49 and men age 15-54 in the sample households were eligible for interviewing in all of these states plus Nagaland. In the remaining 22 states, all ever-married and never married women age 15-49 in sample households were eligible to be interviewed. In those 22 states, men age 15-54 were eligible to be interviewed in only a subsample of households. HIV tests for women and men were carried out in only a subsample of the households that were selected for men's interviews in those 22 states. The reason for this sample design is that the required number of HIV tests is determined by the need to calculate HIV prevalence at the national level and for some states, whereas the number of individual interviews is determined by the need to provide state level estimates for attitudinal and behavioural indicators in every state. For statistical reasons, it is not possible to estimate HIV prevalence in every state from NFHS-3 as the number of tests required for estimating HIV prevalence reliably in low HIV prevalence states would have been very large.

SAMPLE DESIGN

The urban and rural samples within each state were drawn separately and, to the extent possible, unless oversampling was required to permit separate estimates for urban slum and non-slum areas, the sample within each state was allocated proportionally to the size of the state's urban and rural populations. A uniform sample design was adopted in all states. In each state, the rural sample was selected in two stages, with the selection of Primary Sampling Units (PSUs), which are villages, with probability proportional to population size (PPS) at the first stage, followed by the random selection of households within each PSU in the second stage. In urban areas, a three-stage procedure was followed. In the first stage, wards were selected with PPS sampling. In the next stage, one census enumeration block (CEB) was randomly selected from each sample ward. In the final stage, households were randomly selected within each selected CEB.

SAMPLE SELECTION IN RURAL AREAS

In rural areas, the 2001 Census list of villages served as the sampling frame. The list was stratified by a number of variables. The first level of stratification was geographic, with districts being subdivided into contiguous regions. Within each of these regions, villages were further stratified using selected variables from the following list: village size, percentage of males working in the nonagricultural sector, percentage of the population belonging to scheduled castes or scheduled tribes, and female literacy. In addition to these variables, an external estimate of HIV prevalence, i.e., 'High', 'Medium' or 'Low', as estimated for all the districts in high HIV prevalence states, was used for stratification in high HIV prevalence states. Female literacy was used for implicit stratification (i.e., villages were