This table contains 24 series, with data for years 1961 - 1976 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (1 items: Canada ...) Sex (3 items: Both sexes; Females; Males ...) Age groups (8 items: All ages; 0-4 years; 15-19 years; 5-14 years ...).

This table contains 4 series, with data for years 1971 - 1976 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (1 items: Canada ...) Marital status (4 items: Single; Divorced; Widowed; Married ...).

This table contains 9 series, with data for years 1961 - 1976 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (9 items: Canada; Ontario; Quebec; Atlantic ...).

This table contains 24 series, with data for years 1961 - 1976 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (1 items: Canada ...) Sex (3 items: Both sexes; Females; Males ...) Age groups (8 items: All ages; 0-4 years; 15-19 years; 5-14 years ...).

This table contains 1 series, with data for years 1976 - 1976 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (1 items: Canada ...) Mother tongue (1 items: English ...).

This table contains 9 series, with data for years 1961 - 1976 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (9 items: Canada; Ontario; Quebec; Atlantic ...).

These estimates take into account the counts of the 2006 Census,adjusted for net census undercoverage and are based on the 2006 Standard Geographical Classification (SGC). The publication includes statistics for the demographic components that were used to produce the population estimates (births, deaths, marriages, divorces, immigration, emigration, net temporary emigration, returning emigration, internal migration and non-permanent residents) by age and sex. In addition, the publicat ion contains highlights of current demographic trends and a description of the methodology. It also provides additional data such as a chronological series of estimates by various levels of geography. With regard to provinces and territories, the estimates date back to 1971 (tables and animated age pyramid), 1996 for census divisions, census metropolitan areas and economic regions as well as census families. Note that the title of this product has changed for the 2008/09 edition, which is called Canada's Demographic Estimates.

This table contains 1 series, with data for years 1976 - 1976 (not all combinations necessarily have data for all years), and was last released on 2012-02-16. This table contains data described by the following dimensions (Not all combinations are available): Unit of measure (1 items: Percent ...) Geography (1 items: Canada ...) Mother tongue (1 items: English ...).

Footnotes: 1 Source: Statistics Canada, Centre for Demography. The table 17-10-0134-01 is an update of table 17-10-0086-01 . 2 Postcensal population estimates are based on the latest census adjusted for census net undercoverage and also based on administrative sources on births, deaths and migration. Intercensal population estimates are based on postcensal estimates and data adjusted for net undercoverage of the censuses preceding and following the considered year. Population estimates are final intercensal from 2001 to 2015, final postcensal from 2016 to 2018, updated postcensal for 2019 and preliminary postcensal for 2020. Population estimates for health regions are derived from the subprovincial population estimates which are produced by the Centre for Demography using the components method. 3 The number of people living in a geographic area, by age and sex. 4 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period and (...) for figures not applicable. 5 Health region population estimates are produced by the Centre for Demography except for the Quebec estimates, which have been prepared by l'Institut de la statistique du Québec for the whole period. 6 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of 2018. For complete Canadian coverage, each northern territory represents a health region. 7 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2016 Census of Population. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The eight peer groups are identified by the letters A through H, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)."

Footnotes: 1 Source: Statistics Canada, Centre for Demography. The table 17-10-0134-01 is an update of table 17-10-0086-01 . 2 Postcensal population estimates are based on the latest census adjusted for census net undercoverage and also based on administrative sources on births, deaths and migration. Intercensal population estimates are based on postcensal estimates and data adjusted for net undercoverage of the censuses preceding and following the considered year. Population estimates are final intercensal from 2001 to 2015, final postcensal from 2016 to 2018, updated postcensal for 2019 and preliminary postcensal for 2020. Population estimates for health regions are derived from the subprovincial population estimates which are produced by the Centre for Demography using the components method. 3 The number of people living in a geographic area, by age and sex. 4 The following standard symbols are used in this Statistics Canada table: (..) for figures not available for a specific reference period and (...) for figures not applicable. 5 Health region population estimates are produced by the Centre for Demography except for the Quebec estimates, which have been prepared by l'Institut de la statistique du Québec for the whole period. 6 Health regions are administrative areas defined by provincial ministries of health according to provincial legislation. The health regions presented in this table are based on boundaries and names in effect as of 2018. For complete Canadian coverage, each northern territory represents a health region. 7 Peer groups are aggregations of health regions that share similar socio-economic and demographic characteristics, based on data from the 2016 Census of Population. These are useful in the analysis of health regions, where important differences may be detected by comparing health regions within a peer group. The eight peer groups are identified by the letters A through H, which are appended to the health region 4-digit code. Caution should be taken when comparing data for the Peer Groups over time due to changes in the Peer Groups. In an analysis involving the peer groups, only one level of geography in Ontario should be used. For more information on the peer groups classification, consult Statistics Canada's publication Health Regions: Boundaries and Correspondence with Census Geography" (catalogue number 82-402-X)."

Provisional estimates of excess mortality, adjusted numbers of deaths, and expected numbers of deaths to monitor weekly death trends, by age group and sex, in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, death data have been adjusted to account for undercoverage. Data in this table will be available by province and territory.

The numbers contained in this study are released pursuant to the order of the United States Court of Appeals for the Ninth Circuit in Carter v. Department of Commerce, 307 F.3d 1084. These numbers are not official Census 2000 counts. These numbers are estimates of the population based on a statistical adjustment method, utilizing sampling and modeling, applied to the official Census 2000 figures. The estimates utilized the results of the Accuracy and Coverage Evaluation (A.C.E.), a sample survey intended to measure net over- and undercounts in the census results. The Census Bureau has determined that the A.C.E. estimates dramatically overstate the level of undercoverage in Census 2000, and that the adjusted Census 2000 data are, therefore, not more accurate than the unadjusted data. On March 6, 2001, the Secretary of Commerce decided that unadjusted data from Census 2000 should be used to tabulate population counts reported to states and localities pursuant to 13 U.S.C. 141(c) (see 66 FR 14520, March 13, 2001). The Secretary's decision endorsed the unanimous recommendation of the Executive Steering Committee for A.C.E. Policy (ESCAP), a group of 12 senior career professionals within the Census Bureau. The ESCAP, in its recommendation against the use of the statistically adjusted estimates, had noted serious reservations regarding their accuracy. In order to inform the Census Bureau's planned October 2001 decision regarding the potential use of the adjusted estimates for non-redistricting purposes, the agency conducted extensive analyses throughout the summer of 2001. These extensive analyses confirmed the serious concerns the agency had noted earlier regarding the accuracy of the A.C.E. estimates. Specifically, the adjusted estimates were determined to be so severely flawed that all potential uses of these data would be inappropriate. Accordingly, the Department of Commerce deems that these estimates should not be used for any purpose that legally requires use of data from the decennial census and assumes no responsibility for the accuracy of the data for any purpose whatsoever. The Department, including the U.S. Census Bureau, will provide no assistance in the interpretation or use of these numbers. The collection contains four tables: (1) a count of all persons by race (Table PL1), (2) a count of Hispanic or Latino and a count of not Hispanic or Latino by race of all persons (Table PL2), (3) a count of the population 18 years and older by race (Table PL3), and (4) a count of Hispanic or Latino and a count of not Hispanic or Latino by race for the population 18 years and older (Table PL4).

Geographic coverage

The survey will cover the whole of the Indian Union except (i) Leh and Kargil districts of Jammu & Kashmir, (ii) interior villages of Nagaland situated beyond five kilometers of the bus route and (iii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Kind of data

Sample survey data [ssd]

Sampling procedure

Selection of hamlet-groups/sub-blocks / households

Proper identification of the FSU boundaries: The first important task of the field investigators is to ascertain the exact boundaries of the sample FSU as per its identification particulars given in the sample list. For urban samples, the boundaries of each Urban Frame survey (UFS) block may be identified by referring to the map corresponding to the frame code specified in the sample list (even though map of the block for a latter period of the UFS might be available). However for 66 towns for Karnataka where EC '98 work was done without using UFS blocks, the boundaries of each selected ward are to be ascertained by referring to the appropriate map.

Formation of segment 9: Having determined the boundaries of the sample FSU, all big non-agricultural enterprises having 200 or more workers in the entire FSU and having operated at least one day during last 365 days preceding the day of survey (hereinafter to be called as big enterprises for brevity) will be listed and eligible units under coverage will be surveyed separately in addition to the eligible smaller enterprises (i.e. enterprises having less than 200 workers and having operated at least one day during last 365 days preceding the day of survey) under coverage to be surveyed as per normal procedure. All the listed big units (whether under coverage or not) will constitute segment 9.

Decision on hamlet-group/sub-block formation: Having constituted segment 9 as stated above, a decision has to be taken whether listing has to be done in the whole sample FSU or not for formation of sampling frame of the smaller enterprises. For this, approximate present population (P) and approximate total number of non-agricultural enterprises (E) for the whole of sample FSU may be ascertained first from knowledgeable persons While ascertaining the approximate number of non-agricultural enterprises for formation of hg's/sb's, big enterprises will be excluded. Depending upon the values of 'P' and 'E', decision may be taken to divide the sample FSU into a fixed number of hamlet-groups (hg's - the term applicable for rural samples) / sub-blocks (sb's - the term applicable for urban samples) as per the rules given below: 0 - 1200 1 0 - 120 1
1201 - 1600 4 121 - 160 4
1601 - 2000 5 161 - 200 5
2001-2400 6 201 - 240 6
2401 -2800 7 241 - 280 7
For selected wards of the aforesaid 66 towns of Karnataka constituent UFS blocks will be treated as sub-blocks and as such no sub-block formation will be resorted to in the selected UFS blocks. However only two UFS blocks will be selected from these selected wards: one satisfying some criterion with probability 1 and the remaining by simple random sampling. In case there are only two or less UFS blocks, all will be selected.

The number (D) of hamlet-groups (hg's)/ sub-blocks (sb's) to be actually formed in the sample FSU will be the higher of the two values as per population and enterprise criteria. If value of P is less than or equal to 1200 (600 for certain hilly areas specified above) and/or value of E is less than or equal to 120 for an FSU, hg/sb formation should not be resorted to and the whole of sample FSU has to be considered for listing. It is to be noted that D will be the number of UFS blocks constituting the selected wards of the aforesaid 66 towns of Karnataka.

How to form hamlet-groups/sub-blocks ? : In case hg's/sb's are to be formed in the sample FSU, the same may be always done by more or less equalizing population (refer to chapter two for details). Please note that while doing so, it is to be ensured that the hg's/sb's formed are clearly identifiable in terms of physical landmarks. There will be no sub-block formation in the selected UFS blocks of the sample wards of the aforesaid 66 towns of Karnataka and these sample wards will be treated like FSU with sub-block formation, where sub-blocks are the UFS blocks in reality.

How to form segments 1/2 ? : After formation of hg's/sb's in large FSUs of sub-strata 1-9, the hg/sb having maximum number of sub-stratum specific establishments/OAEs (e.g. storage & warehousing establishments/OAEs for sub-stratum1, hotel establishments/OAEs for sub-stratum 2 and so on) will be selected with probability 1 and designated as segment 1. In case there is no establishments/OAEs specific to the respective sub-stratum then segment 1 will be decided on the basis of number of establishments/ OAEs specific to other sub-stratum (details may be seen in chapter 2.) After formation of hg's/sb's in large FSUs of sub-strata 10 and 11, segment 1 will be decided on the basis of total number of enterprises. If there is no enterprise at all in the large FSU of any sub-stratum, the hg/sb with maximum percentage share of population will be taken as segment 1. In case, there is more than one hg/sb satisfying the condition of labeling as segment 1, some objective criterion (details may be seen in chapter 2 ) is to be considered for selection of hg/sb to be labeled as segment 1.Two other hg's/sb's will be selected from the remaining (D-1) hg's/sb's by circular systematic sampling with equal probability. These two together will constitute segment 2 and combined listing and selection of enterprises/ households will be done.

For 66 towns of Karnataka constituent UFS blocks of the selected wards will be listed first and then two UFS blocks will be selected: one having maximum number of enterprises of the category specific to the sub-stratum will be selected with probability 1 and labeled as segment 1 and another will be selected with Simple Random Sampling out of the remaining and labeled as segment 2. In case, number of UFS blocks available in the selected block is two then both will be selected and the one having maximum number of enterprises of the category specific to the sub-stratum will be selected with probability 1 and labeled as segment 1 and the other will be labelled as segment 2. If there is only one UFS block in the selected ward this block will be selected and labeled as segment 1. Listing and selection of enterprises/households will be done separately for segment 1 and segment 2. FSUs not undergoing hg/sb formation will be identified as segment 1 for the purpose of processing. It may be noted that formation of segment 9 is altogether different from that of segment 1 and segment 2.

Listing of households vis-à-vis their frame: Having determined the segments i.e. area(s) to be considered for listing, the next step is to list all the households and NAEs [including those found to be temporarily locked after ascertaining temporariness of locking of households /NAEs from local enquiry]. Although all NAEs are to be listed, only the unorganized service sector establishments/OAEs (excluding trade and finance) under 5-digited code of Tabulation categories viz H,I,K,M,N&O of NIC '98 and operated for at least 30 days (15 days for seasonal enterprises) during the reference year (i.e. last 365 days preceding the date of survey) will qualify for the survey. Such establishments/OAEs will hereafter be referred to as 'eligible establishments/OAEs'. Listing of households as well as eligible establishments/OAEs for the purpose of sample selection will be independent for segments 1 & 2 (Hereinafter enterprises will mean eligible establishments/OAEs only.)

Sampling of households (for schedule 1.0): A sample of 4 households will be selected from the households listed in the sample FSUs for canvassing schedule 1.0: Household consumer expenditure. In sample FSUs with hg/sb formation, two households will be selected from each of the two segments for this purpose. In the case of selected wards of 66 towns of Karnataka, treatment will be the same as that of sample FSU with hg/sb formation. If, however, there is a shortfall in the required number of households in a particular segment, the quota for the other segment shall be increased so that a total of 4 households is selected in all. If the number of households (H) in the frame is less than 4 then all the households will be selected. If H =4 the households will be first arranged by their means of livelihood and then the required number of sample households will be selected circular systematically with a random start for each segment of the sample FSUs separately.

Mode of data collection

Face-to-face [f2f]

Provisional estimates of excess mortality, adjusted numbers of deaths, and expected numbers of deaths to monitor weekly death trends, by age group and sex, in Canada. Given the delays in receiving the data from the provincial and territorial vital statistics offices, death data have been adjusted to account for undercoverage. Data in this table will be available by province and territory.

Starting in 2024, the Peel Data Centre has adopted Statistics Canada’s annual population estimates for reporting purposes. The estimates previously provided were based on an internal methodology that uses demolition data, CMHC housing starts and completions, and Population per Unit (PPU) to produce quarterly population figures for Peel. In contrast, Statistics Canada’s estimates are derived from the most recent Census, adjusted for census net undercoverage (CNU), and account for births, deaths, and both international and internal migration. This table will be updated once the new population base from the 2026 Census becomes available.

Institutionalization, cognitive impairment, and the inability to conduct an interview due to health impairment are among the top exclusion criteria for most large-scale social and aging surveys. Reservations about targeting vulnerable groups result from economic or legal restrictions of recruitment and concerns regarding research ethics or the validity of the data obtained. However, failure to include these individuals may lead to substantial bias. Metadata showed that privileged data access and checks against nursing home repositories prevented the undercoverage of institutionalized individuals. Measures to include difficult-to-survey groups led to a marked increase in response rates. Individuals with health impairments substantially contributed to the representativity of the sample. Nonresponse bias was cut in half when compared with a less inclusive study protocol. From a Total Survey Error perspective, reductions in nonresponse bias, low item-nonresponse, and evidence of measurement invariance across self-reports and proxy reports for key outcome variables show significant benefits of including difficult-to-survey groups in estimating characteristics of this population.

Abstract The National Survey on Drug Use and Health (NSDUH) and the Arrestee Drug Abuse Monitoring (ADAM) Program provide information on alcohol and drug use by individuals who have recently been arrested. The studies differ in their target populations (civilian, noninstitutionalized individuals vs. arrestees in 39 sites recently booked into jails) and data collection methods. This study uses 2003 ADAM and 2002–2008 NSDUH data for adult males living in the 39 ADAM sites who reported a past year arrest and 2002–2008 Uniform Crime Reporting (UCR) data to examine how well NSDUH covers the arrestee population and to compare estimates of drug and alcohol use and substance abuse or dependence. In general, ADAM estimates of rates of self-reported drug use were higher. The magnitude of these differences cannot be accounted for by undercoverage in NSDUH. Other possible reasons for these differences and their implications for interpreting NSDUH and ADAM data are discussed.

This table shows annual population estimates from Statistics Canada for Peel and its municipalities, as of July 1 of the previous year. For example, 2025 data reflects July 1, 2024 estimates. Population estimates as of July 1 are final postcensal for 2021, updated postcensal for 2022 and 2023, and preliminary postcensal for 2024.Postcensal estimates are based on the latest census counts adjusted for census net undercoverage (including adjustment for incompletely enumerated reserves and settlements) and on the estimated population growth that occurred since that census, as calculated using fiscal data. Intercensal estimates are based on postcensal estimates and census counts adjusted of the censuses preceding and following the considered year.

Geographic coverage

The survey covers the whole of the Indian Union except (i) interior villages of Nagaland situated beyond five kilometres of the bus route and (ii) villages in Andaman and Nicobar Islands which remain inaccessible throughout the year.

Analysis unit

Enterprise

Kind of data

Sample survey data [ssd]

Sampling procedure

Outline of sample design:

A stratified multi-stage design has been adopted for the 67th round survey. The first stage units (FSU) is the census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) is enterprises in both the sectors. In case of large FSUs, one intermediate stage of sampling will be the selection of three hamlet-groups (hgs)/ sub-blocks (sbs) from each large rural/ urban FSU.

Sampling frame to be used for selection of first stage units

Census 2001 list of villages is used as the sampling frame for rural areas. Auxiliary information such as number of enterprises, number of workers, type of enterprises, activities of enterprises, etc. available from EC-2005 frame is used for stratification, sub-stratification and selection of enterprises.

In Kerala, list of panchayat wards as per Census 2001 will be used as frame since list of such wards is not available as per EC 2005 frame.

In the urban sector, EC-2005 frame is used for 26 cities with population more than a million as per census 2001. Although Mumbai is a million plus city, EC-2005 frame is not used for Mumbai because of identification problem for IV unit/blocks in the EC for the city. For other cities/towns (including Mumbai), UFS frame (2002-07 phase or latest available phase prior to 2002-07 if it is not available) is used.

Stratification:

Each district is a basic stratum in both rural and urban areas. However, in case of urban, each city with population of 1 million or more as per Census 2001 forms a separate stratum and all other cities/towns of a district is grouped to form another stratum.

Sub-stratification:

(i) Rural: There is three sub-strata in the rural sector: (1) Villages with at least 5 establishments (NDE/DE) (see para 1.4.17 and 1.4.18 for definition of NDE/DE) under coverage in the manufacturing sector as per EC-2005 information; (2) Remaining villages having at least 5 NDE/DE under coverage in the services sector including trade as per EC-2005 information; (3) Remaining villages of the stratum.

For the State(s) where EC-2005 information cannot be used as auxiliary information for stratification/sub-stratification due to limitations of EC 2005 frame, each district is sub-stratified into 'r/4' sub-strata with a sample allocation of 4 per sub-stratum where 'r' is the sample allocation for the district/stratum. The sub-strata is formed by arranging the villages in terms of population so that total population of each sub-stratum is approximately the same.

(ii) Urban, Million plus cities (excluding Mumbai) : For each stratum / million plus city, 20 sub-strata will be formed as under: Sub-stratum 1: Blocks with one or more establishment in insurance & pension funding;
Sub-stratum 2: Remaining blocks with one or more establishment in storage & warehousing;
Sub-stratum 3: Remaining blocks with one or more establishment in accommodation;
Sub-strata 4-8: Remaining blocks with one or more establishment in broad activities of manufacturing (as per SSS formation discussed subsequently under para 1.3.10);
Sub-strata 9-12: Remaining blocks with one or more establishment in broad activities of trade (as per SSS formation in para 1.3.10);
Sub-strata 13-19: Remaining blocks with one or more establishment in broad activities of other services (as per SSS formation in para 1.3.10) excluding the activities covered under sub-strata 1-3.
Sub-strata 20: All remaining blocks of the stratum.

(iii) Urban, Other cities and towns (including Mumbai): Two sub-strata is formed: Sub-stratum 1: UFS block types: Bazaar area (BA)/ Industrial area (IA)/ Hospital area/ (HA)/ Slum area (SA) which are likely to contain relatively higher number of enterprises;
Sub-stratum 2: Remaining UFS blocks of the stratum.

If the number of FSUs in the frame of a rural or urban sub-stratum is found to be less than 8, then separate sub-stratum is formed and it is merged with the adjacent sub-stratum. There is only one town (Leh) in Leh district and one town (Kargil) in Kargil district of J & K. These two towns are out of UFS coverage. These are treated as sub-stratum 2 and the entire town is treated as one FSU.

Total Sample size (FSUs):

A sample of 16000 FSUs for central sample and 17176 FSUs for state sample have been allocated at all-India level.

Allocation of total sample FSUs:

(i) All-India allocation over States: All-India sample size (FSUs) have been allocated to different State/UTs taking into account the minimum allocations required for a State/UT and the proportion of non-agricultural workers as per EC-2005 in the State/UT.

(ii) State/UT allocation over rural/urban sectors: State/UT sample sizes is allocated to rural and urban sectors of the State/UT in proportion to number of non-agricultural workers as per EC-2005 with the constraint that urban allocation should not be too high compared to rural allocation and both rural and urban allocations is in multiples of 8.

(iii) State × sector allocation over strata: Stratum allocations of State/UT sample sizes for each sector is made in proportion to number of non-agricultural workers as per EC-2005. For the States/UTs where census 2001 frame was used in the rural sector, allocations to strata are made in proportion to population as per census.

(iv) Stratum allocation over sub-strata: Allocations to sub-strata are made: (a) In proportion to number of non-agricultural workers as per EC-2005 in rural sector as well as in million plus cities (after assuming the number as 1 for those villages/blocks where number of non-agricultural workers is 0); (b) In proportion to number of blocks with a double weight to sub-stratum 1 for other than million plus cities.

Minimum allocation for a sub-stratum is 4.

Selection of FSUs: (a) Rural & million plus cities: From each sub-stratum, required number of sample villages/blocks will be selected by probability proportional to size with replacement (PPSWR), size being the number of total non-agricultural workers under coverage in the village/block as per EC-2005. For the State(s) where EC-2005 information cannot be used as auxiliary information for selection of FSUs due to limitations of EC 2005 frame, size for PPSWR selection is the population of the village as per Census 2001.

(b) Urban (other than million plus cities): From each sub-stratum FSUs are selected by using Simple Random Sampling Without Replacement (SRSWOR). However, for Leh and Kargil towns, each town is selected 4 times, once in each sub-round. Both rural and urban samples is drawn in the form of two independent sub-samples and equal number of samples is allocated among the four sub rounds.

Formation of segment 9 and selection of hamlet-groups/ sub-blocks

Proper identification of the FSU boundaries: The first task of the field investigators is to ascertain the exact boundaries of the sample FSU as per its identification particulars given in the sample list. For urban samples, the boundaries of each FSU may be identified by referring to the map corresponding to the frame code specified in the sample list (even though map of the block for a latter period of the UFS might be available).

Formation of Segment 9: Having determined the boundaries of the sample FSU, all non-agricultural enterprises having 20 or more workers in the entire FSU and having operated at least one day during last 365 days preceding the day of survey (hereinafter to be called as 'big enterprises') are listed and all the eligible units under coverage are surveyed. All the listed big units (whether under coverage or not) constitute segment 9. All eligible enterprises under coverage were surveyed in segment 9.

Criterion for hamlet-group/ sub-block formation: Having constituted segment 9 as stated above, it is to be determined whether listing is done in the whole sample FSU or not. For this, approximate present population (P) and approximate total number of non-agricultural enterprises (E) for the whole FSU may be ascertained first from knowledgeable persons. Depending upon the values of 'P' and 'E', it is divided into a suitable number (say, D) of 'hamlet-groups' in the rural sector and 'sub-blocks' in the urban sector as stated below. Final value of 'D' is the higher of the two values 'P' and 'E' based on the dual criteria. While considering enterprise criteria, segment 9 enterprises, if any, may be excluded from the count of 'E', if possible.

For rural areas of Himachal Pradesh, Sikkim, Uttarakhand (except four districts Dehradun (P), Nainital (P), Hardwar and Udham Singh Nagar), Poonch, Rajouri, Udhampur, Doda, Leh (Ladakh), Kargil districts of Jammu and Kashmir and Idukki district of Kerala, the number of hamlet-groups is formed as follows: population (P) | no. of hgs/ sbs to be formed | no. of non-agricultural enterprises (E) | no. of hgs/ sbs to be formed
less than 600 | 1 | less than 120 | 1
600 - 799 | 4 | 120 - 159 | 4
800 - 899 | 5 | 160 - 199 | 5
1000 - 1199 | 6 | 200 - 239 | 6
and so on | … | and

Key information about Canada population

• The Canada population reached 41.7 million people in Jun 2025, compared with the previously reported figure of 41.3 million people in Jun 2024
• The data reached an all-time high of 369.3 million people in Feb 1992 and a record low of -7.6 million people in May 2016

*This indicator will be no longer available from March 2026, 4th onwards. CEIC has a plan to remove the non-standard frequency indicator after the standard frequency indicator has been added and be available on this table. CEIC extends history for annual Population. Statistics Canada provides Mid-year Population. Postcensal estimates, which are based on the latest Census counts adjusted for Census Net Undercoverage (CNU), including adjustment for Incompletely Enumerated Indian Reserves (IEIR) and the components of demographic growth that occurred since that census. Intercensal estimates are produced using counts from two consecutive censuses adjusted for CNU (including (IEIR) and postcensal estimates) Population prior to 1971 is sourced from the U.S. Census Bureau. Population is in annual frequency, ending in June of each year.


Further information about Canada population data

• In the latest reports, Canada Unemployment Rate dropped to 6.9 % in Oct 2025
• Monthly earnings of the Canada population was 3,808.3 USD in Sep 2025
• Canada Labour Force Participation Rate remained the same rate at 65.0 % in Oct 2025