According to the 76th round of the NSO survey conducted between July and December 2018, a higher percentage of disabled males was present in rural Odisha at 3.7 percent. The eastern Indian state had an equal share of men and women with disability at 2.8 percent in 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.

Impact Evaluation Framework and Results: Odisha Rural Livelihoods Project This is a baseline panel survey of households from rural Odisha collected to evaluate the impact of the TRIPTI Livelihoods project using a quasi-RDD design. The data were also used, after merging it with information on rainfall patterns, to assess the impact of TRIPTI on mitigating the effects of Hurricane Phailin. Collaboration: World Bank Social Observatory in collaboration with the Government of Odisha. EVALUATION DESIGN This evaluation was designed in 2011 after the project areas were chosen, which meant that a “gold standard” impact evaluation with a Randomized Control Trial method was not feasible. The selection rule for project areas however allowed for the next best available tool of Regression Discontinuity Design (See below). Using this design, the difference in difference approach, which measures the change in outcomes between project or “treatment” and comparable non-project or “control” areas over the evaluation time period can be used to evaluate the impact the project. Selection of TRIPTI Blocks - In each TRIPTI district, 4 blocks were to be chosen for project ""treatment"" using a ""backwardness"" selecton rule - All blocks were given a score that gave weightage to block level development indices (Ghadei Committee Index), SHG coverage, total population and SC/ST Populations - Program blocks then ranked in descending order of scores, and the 4 blocks with highest backwardness score wee chosen for the program Selection of Evaluation Blocks - In each district, the non- program or ""control"" block was chosen to the block that had the closest score to the last of the 4 program blocks - A pair of blocks- one program or “treatment” block, and non- program or “control” blocks) were chosen to be part of the evaluation sample in every district Selection of GPs, Villages and Households - Treatment is universal at the level of the block, which implies that at sub-block units, or Gram Panchayats (GPs) receive TRIPTIs interventions. > 4 GPs randomly chosen in each block > 2 vilages randomly chosen in each GP - All targeted households in a TRIPTI GP are eligible TRIPTI interventions > 15 households randonly chosen in each village > Oversampling of SC/ST housholds to proxy for target housholds EVALUATION DATA The data used in this evaluation come from the first (baseline) of two surveys commissioned by TRIPTI with technical assistance from the World Bank. An independent survey firm implemented both surveys. The baseline survey was completed before the initiation of TRIPTI in the evaluation sample area, between September-November 2011; and the follow up survey was implemented over the same month in 2014. This data therefore covers a 3-year period during which TRIPTI was in operation. The data collected focused on four modules. A general household module collected data on household consumption expenditures (following the same format as India’s National Sample Surveys that are used to measure poverty); and detailed information on the livelihoods portfolio and debt profile of households. A woman’s module was also administered to an adult married woman in each household. This module measured different metrics of women’s empowerment; and included questions on decision-making within the household, and on women’s participation in local public action. Two focus group discussions with the village in general, and women in the villages separately were also implemented in order to understand key elements related to local politics and civic action. In addition, a GPLF survey module- that covered 58 project Gram Panchayats - was implemented during the follow up survey. As part of this evaluation, data was to be collected from a sample of 3000 households selected at random from these 160 villages twice: once before the launch of project interventions in these 80 GPs at baseline (2011), and once at the end of the project. Due to some missing data, the baseline survey included in the end a total of 2875 households and the end line survey included a total of 2,874 households. The working sample is the total set of these households with reliable data. In each round of the survey, each household is linked to village-level data from that round. This evaluation report is an output of the Social Observatory Team of the World Bank and the Orissa Rural Livelihoods Project (TRIPTI), and it was financed by the South Asia Food and Nutrition Security Initiative (SAFANSI). There are two parts to this repot- an executive summary, and a technical paper that is authored by Shareen Joshi (Georgetown University), Nethra Palaniswamy (World Bank), and Vijayendra Rao (World Bank). Discussions with the TRIPTI project team led by the Additional Project Director Babita Mohapatra, and the World Bank task team led by Samik Das were critical to the design of this evaluation. Support from Arvind Padhee and DV Swamy who served as Project Directors of TRIPTI; from...

Census: Population: Odisha: Sundargarh data was reported at 45,036.000 Person in 03-01-2011. This records an increase from the previous number of 38,421.000 Person for 03-01-2001. Census: Population: Odisha: Sundargarh data is updated decadal, averaging 23,699.000 Person from Mar 1951 (Median) to 03-01-2011, with 7 observations. The data reached an all-time high of 45,036.000 Person in 03-01-2011 and a record low of 5,959.000 Person in 03-01-1951. Census: Population: Odisha: Sundargarh 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.GAC027: Census: Population: By Towns and Urban Agglomerations: Odisha.

Agricultural Land: Odisha: Type of Use: Reporting Area for Land Utilisation Statistics data was reported at 14,845.000 ha th in 2022. This records a decrease from the previous number of 14,894.000 ha th for 2021. Agricultural Land: Odisha: Type of Use: Reporting Area for Land Utilisation Statistics data is updated yearly, averaging 15,510.000 ha th from Mar 2003 (Median) to 2022, with 20 observations. The data reached an all-time high of 15,944.000 ha th in 2017 and a record low of 14,781.000 ha th in 2020. Agricultural Land: Odisha: Type of Use: Reporting Area for Land Utilisation Statistics data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIJ028: Agricultural Land: Type of Use: Odisha.

270 (People per square kilometer) in 2011. Notes: a. Includes estimated population of Paomata, Mao Maram and Purul sub-divisions of Senapati District of Manipur for 2001. b. For working out the density of India and Jammu & Kashmir the entire area and population of those portions of Jammu & Kashmir which are under illegal occupation of Pakistan and China have not been taken into account. c. India figures include estimated figures for those of the three sub-divisions viz. Mao Maram, Paomata and Purul of Senapati district of Manipur as population census 2001 in these three subdivisions were cancelled due to technical and administrative reasons although a population census was carried out in this sub-division as per schedule.

This Dataset contains Year and Sub-District wise data for all the indicators related to Family Planning, Maternal Health, and Immunization under HMIS for Nabarangpur district of Odisha. The data is also given at different levels of facilities like Public, Private, Rural and Urban and at different age group levels

In financial year 2023, the cultivation of vegetables accounted for the largest share of cropland in the Indian state of Odisha, at about 676 thousand hectares. The second largest share of cropland was taken up by fruit cultivation, at approximately 367 thousand hectares.

Map shows data for districts in Odisha state, plus one district of Andhra Preadesh. Figures are shown for percentages of district populations as reported by Government (taking the highest figures from two post-disaster situation reports). Pie graphs indicate percentages of Schedules Castes, as a proxy for underlying vulnerability.

Comprehensive population and demographic data for Baunsuni Village

Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 10 Hectares and Above data was reported at 86,242.660 ha in 2016. This records a decrease from the previous number of 132,201.000 ha for 2011. Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 10 Hectares and Above data is updated yearly, averaging 156,719.000 ha from Jun 2001 (Median) to 2016, with 4 observations. The data reached an all-time high of 220,000.000 ha in 2001 and a record low of 86,242.660 ha in 2016. Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 10 Hectares and Above data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIK002: Agriculture Census: Area of Operational Land Holdings: by Size Group.

Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 1 to 2 Hectares data was reported at 1,404,130.370 ha in 2016. This records a decrease from the previous number of 1,497,752.000 ha for 2011. Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 1 to 2 Hectares data is updated yearly, averaging 1,520,876.000 ha from Jun 2001 (Median) to 2016, with 4 observations. The data reached an all-time high of 1,587,713.000 ha in 2006 and a record low of 1,404,130.370 ha in 2016. Agriculture Census: Area of Operational Land Holdings: Odisha: Size Group: 1 to 2 Hectares data remains active status in CEIC and is reported by Directorate of Economics and Statistics, Department of Agriculture and Farmers Welfare. The data is categorized under India Premium Database’s Agriculture Sector – Table IN.RIK002: Agriculture Census: Area of Operational Land Holdings: by Size Group.

Data in table tells us about the year-wise estimated population of wild elephants in different regions of India. Regions mentioned are- North East includes: Arunachal Pradesh, Assam, Meghalaya, Nagaland, Mizoram, Manipur, Tripura and West Bengal (North); East includes: West Bengal (South), Jharkhand, Odisha, Chhattisgarh: North includes: Uttarakhand, Uttar Pradesh; and South includes Tamil Nadu, Karnataka, Kerala, Andhra Pradesh and Maharashtra.

Note: 1) Meghalaya and Uttarakhand have not conducted elephant census after 2007.Therefore the figure of 2007 has been maintained for 2012 as well. 2) The figure for North and South Bengals are combined 3) Gap between 1993 and 1997- only 4 years.

Geographic coverage

The geographical coverage of the survey was to be the whole of the Indian Union except Ladakh and Kargil districts of Jammu & Kashmir, 768 interior villages of Nagaland and 172 villages in Andaman & Nicobar Islands which remain inaccessible throughout the year. In addition, certain districts of Jammu & Kashmir viz., Doda, Anantnag, Pulwama, Srinagar, Badgam, Baramula and Kupwara, as well as Amritsar district in Punjab, had to be excluded from the survey coverage due to unfavourable field conditions.

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample Design

1. A stratified two-stage sample design with villages (Panchayat wards in case of Kerala) / UFS blocks as the first stage units (FSUs) and manufacturing enterprises in the unorganised sector (OAME/ NDME / DMEs) as the ultimate stage units (USUs) has been adopted. For consumer expenditure and employment-unemployment survey, households are the USUs as usual.

2. Sampling Frame: EC '98 with enterprise/ establishment level data is taken as the frame for the survey for the whole of India except Orissa (EC '98 work not completed) & 66 towns of Karnataka (EC-98 work not done using UFS blocks). For Orissa, Population Census 1991 is taken as frame. Sampling frame for 66 towns of Karnataka and all towns of Orissa is the UFS blocks. Similar frame is to be taken for the States for which EC '98 cannot be used.

3. Stratification: Rural: Each district will be treated as a stratum for all States/UTs. In all States/UTs except Orissa, each district will be divided into three sub-strata as under:

4. sub-stratum 1: FSUs with no unorganized manufacturing enterprises

5. sub-stratum 2: FSUs with at least one DME in the unorganized sector

6. sub-stratum 3: remaining FSUs

Sub-stratum 1 with less than 20 FSUs is to be merged with sub-stratum 3 and vice versa. Sub-stratum 2 with less than 8 FSU will be merged with sub-stratum 3.

As EC-98 work is not complete for Orissa the principle of stratification in this state is based on Population Census 1991. In this case, each district will be a stratum but there will be two sub-strata within each district: - sub-stratum 1: All FSUs with population between 0 to 50 as per Census 1991.
- sub-stratum 2: The remaining FSUs.

Formation of a sub-stratum may be considered only if there are at least 20 FSUs in that sub-stratum; otherwise there will not be any sub-stratification. However, all FSUs in this case will be identified with sub-stratum 2 for processing work.

Urban: Strata will be formed within each NSS region of a State/UT. The towns within an NSS region is stratified according to the population of the towns as per 1991 population Census as given below ( P stands for population of '91 census ): - Stratum 1: all towns with P <= 50000 - Stratum 2: all towns with 50000 < P <= 100000 - Stratum 3: all towns with 100000 < P <= 500000 - Stratum 4: all towns with 500000 < P <= 1000000 - Stratum 5/ 6/ 7: Each town with P > 1000000

Within each stratum ( except for Orissa and part of Karnataka ) three sub-strata will be formed as under: - sub-stratum 1: FSUs with no unorganized manufacturing enterprises - sub-stratum 2: FSUs with at least one DME in the unorganized sector - sub-stratum 3: remaining FSUs .

Sub-stratum1 with less than 20 FSUs is to be merged with sub-stratum 3 and vice versa. Sub-stratum 2 with less than 8 FSUs will be merged with sub-stratum 3.

For Karnataka, there are 66 towns where UFS blocks were not used for EC-98 work. The stratification procedure is therefore modified for the urban sector of Karnataka in the following manner:

All the towns of the State will first be grouped into NSS region ´ town classes as per the criteria given above. Then within each region ´ town class, two strata will be formed. The towns included in the list of 66 special category towns will form a special stratum within a region ´ town class. The rest of the towns within the region ´ town class will form a general stratum.

Sub-stratification for general strata of Karnataka will be same as in the case of other States/UTs. For special strata of Karnataka and all the strata of Orissa, three sub-strata will be formed as follows: - sub-stratum 1: all FSUs ( i.e. UFS blocks as per the latest UFS ) identified as Industrial Area ( IA). - sub-stratum 2: all FSUs identified as Bazar Area ( BA). - sub-stratum 3: the remaining FSUs

If an FSU has been identified as mixed area type e.g. IA and BA, BA and RA, etc. priority order for inclusion in sub-strata will be IA and then BA e.g. an FSU identified as both IA and BA will belong to sub-stratum 1. If there are less than 20 FSUs in a sub-stratum, it will be merged with other sub-stratum. Sub-stratum1 will be merged with sub-stratum 2 and sub-stratum 2 will be merged with sub-stratum 3 in such cases.

1. Sample Size: State/UT level sample size is decided on the basis of its investigator strength. Considering that 818 investigators are in position with FOD and that the State Statistical agencies of Arunachal Pradesh, Manipur, Mizoram and Tripura are able to survey about 840 FSUs of central sample, the total sample size for Central Sample is fixed at 15032. Total State sample size is fixed at 17096 taking care of prevalent matching pattern for almost all states. Table T0 gives the Statewise details of the allocations of sample size by State/UT.

2. Allocation between rural and urban sectors: The allocation of FSUs between rural and urban sectors is made in proportion to the number of workers engaged in unorganized non-agricultural enterprises as per EC '98 (Census '91 for Orissa) with 1.5 weightage to Urban sector.

3. Allocation among strata/sub-strata: Allocations to strata/sub-strata in both rural and urban sectors (except for urban sector of Orissa and special urban strata in Karnataka) will be made in proportion to the number of non-agricultural workers in the unorganized sector as per EC '98.

For Orissa rural, allocation has been made to strata/sub-strata in proportion to non-agricultural workers as per population Census'91. For urban strata of Orissa, allocation will be made in proportion to the number of FSUs in the strata. Allocations to sub-strata within the stratum will then be done in proportion to number of FSUs in the sub-strata with weights 2, 2 and 1 for sub-stratum 1, 2 & 3 respectively.

For the special urban strata of Karnataka, stratum allocations will be made in proportion to number of non-agricultural workers as per EC '98. But sub-stratum allocations will be made in the same manner as for urban sub-strata of Orissa.

Allocation to any stratum/sub-stratum will be adjusted to a multiple of 2 FSUs. ( If the proportional allocation turns out to be less than three, it will be adjusted to 2. If the allocation is greater than or equal to 3 but less than 5, it will be adjusted to 4 and so on.)

While allocating FSUs to stratum/sub-stratum it is ensured that each (stratum x sub-stratum ´ sub-sample) is represented.

1. Selection of FSUs: For sub-stratum 1 in rural/urban sector of each State/UT, all urban sub-strata of Orissa and all special strata/sub-strata relating to 66 towns of Karnataka, FSUs will be selected with equal probability and without replacement. For all other sub-strata in both rural and urban sectors, FSUs will be selected circular systematically with PPS, size being the number of manufacturing workers in the unorganized sector as per EC '98. (For Orissa rural, size in this case will be manufacturing workers as per census '91. If an FSU has no manufacturing worker, size 1 will be assigned to that FSU before drawing samples). However, some manufacturing enterprises may have large number of workers as per EC '98 frame even though they are in the unorganized sector. Some adjustment to the size of workers for such enterprises will be made before calculating the size of FSUs. For this purpose, any unorganized manufacturing enterprise having more than 200 workers will be deemed to have a size equal to 200. Enterprise sizes will thereafter be added up to get the FSU size and sub-stratum / stratum size.

Samples will be drawn in the form of two independent sub-samples separately for rural and urban sectors. For uniform spread of field work over the survey period all the samples of a state for central and state separately will be arranged first by stratum and then each stratum by sub-stratum and each sub-stratum by sub-sample and then sub-round number will be assigned against sample FSUs in the sequence 1, 2, 3 and 4.

Note: Detail sampling procedure is provided as external resource.

Mode of data collection

Face-to-face [f2f]

Research instrument

Schedule 1.0 - Consumer Expenditure

Schedule design: Schedule 1.0 has been split into several blocks to obtain detailed information on the expenditure incurred on domestic consumption and other particulars of the sample household. Besides, information will be collected on sufficiency of food. No account will, however, be taken of any expenditure incurred towards the productive enterprises of the households.

Block 0 - Descriptive identification of sample household: This block is meant for recording descriptive identification particulars of a sample household.

Block 1- Identification of sample households: This block is meant for recording the identification particulars of the sample households. The identification particulars for items 3-11 will be copied from the corresponding items of block 1 of listing schedule 0.0.

Block 2- Particulars of field operations: The identity of the Investigator, Assistant Superintendent and Superintendent associated, date of

During 2018, the most stressed district court in India was Angul district court in Odisha with a judicial stress index of 0.64. Seven of the most stressed district courts in India was in Bihar. Bihar, Uttar Pradesh and Odisha collectively had 45 district courts in the top 50 most stressed districts during the measured time period.

73,5 (%) in 2017. 1. Literacy rates for 1951, 1961 and 1971 Censuses relate to population aged five years and above. The rates for the 1981, 1991 and 2001 Censuses relate to the population aged seven years and above. The literacy rate for 1951 in case of West Bengal relates to Total population including 0-4 age group. Literacy rate for 1951 in respect of Chhatisgarg, Madhya Pradesh and Manipur are based on sample population. 2. India and Manipur figures exclude those of the three sub-divisions viz. Mao Maram, Paomata and Purul of Senapati district of Manipur as census results of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons. 3. N.A. - Not available as no census was carried out in Assam during 1981 and in Jammu & Kashmir during 1991. 4. Created in 2001. Uttaranchal Pradesh, Jharkhand and Chattisgarh for 1981 and 1991 are included under Uttar Pradesh, Bihar and Madhya Pradesh respectively.

The cultivation area of raw jute and mesta in the eastern state of Odisha was estimated to be 6.2 thousand hectares in fiscal year 2023. An overall decrease in the cultivation area was seen over the years from financial year 2009.

Rainfall: Cumulative: Odisha: Sambalpur: Actual data was reported at 0.000 mm in 19 Mar 2025. This stayed constant from the previous number of 0.000 mm for 18 Mar 2025. Rainfall: Cumulative: Odisha: Sambalpur: Actual data is updated daily, averaging 71.200 mm from Jun 2018 (Median) to 19 Mar 2025, with 2429 observations. The data reached an all-time high of 1,382.900 mm in 30 Sep 2018 and a record low of 0.000 mm in 19 Mar 2025. Rainfall: Cumulative: Odisha: Sambalpur: Actual data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB012: Rainfall: by District: Cumulative.

Rainfall: Cumulative: Odisha: Dhenkanal: Normal data was reported at 18.900 mm in 25 Mar 2025. This records an increase from the previous number of 17.500 mm for 24 Mar 2025. Rainfall: Cumulative: Odisha: Dhenkanal: Normal data is updated daily, averaging 112.200 mm from Jun 2018 (Median) to 25 Mar 2025, with 2435 observations. The data reached an all-time high of 1,144.400 mm in 30 Sep 2018 and a record low of 0.000 mm in 29 Nov 2020. Rainfall: Cumulative: Odisha: Dhenkanal: Normal data remains active status in CEIC and is reported by India Meteorological Department. The data is categorized under India Premium Database’s Environment – Table IN.EVB012: Rainfall: by District: Cumulative.

In 2020, the state of Kerala, with 7.1 deaths per 1,000 inhabitants, had the highest urban death rate. It was followed by Odisha and Chhattisgarh . On the contrary, the region of Delhi had the lowest urban deaths during the same period. Death rates for India between 2004 and 2020 can be found here.