Coverage Technical Report, Census of Population, 2021
12. Special topics

12.1 Collection undercoverage

Up to this point, this report focused on undercoverage in the census population counts. This section deals with the concept of Census of Population collection undercoverage. It is useful to expand the concept of undercoverage to include persons not enumerated for any reason. Undercoverage is defined as the number of persons not included in the census counts. As discussed in Section 3.3, the census counts C MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4qaaaa@36BF@ are composed of two elements, C=E+I MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaam4qaiabg2 da9iaadweacqGHRaWkcaWGjbaaaa@3A3F@ , where E MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyraaaa@36C1@ = the number of enumerations and I MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamysaaaa@36C5@ = the number of persons imputed.

Undercoverage, therefore, represents only part of all persons who were not listed on a census form but should have been. It does not include persons who were not enumerated either because no census form was returned for the dwelling (non-response dwelling) or because the dwelling was erroneously classified as unoccupied (occupied dwelling misclassified as vacant) and was not covered by non-response follow-up.

Also discussed in Section 3.3, an estimate of the actual number of persons in the census target population is given by:

T ^ =C+ N ^ =C+ U ^ O ^ MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmivayaaja Gaeyypa0Jaam4qaiabgUcaRiqad6eagaqcaiabg2da9iaadoeacqGH RaWkceWGvbGbaKaacqGHsislceWGpbGbaKaaaaa@3FDD@

If we combine these two equations, we get:

T ^ =C+ N ^ =C+ U ^ O ^ =E+( I+ U ^ ) O ^ MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmivayaaja Gaeyypa0Jaam4qaiabgUcaRiqad6eagaqcaiabg2da9iaadoeacqGH RaWkceWGvbGbaKaacqGHsislceWGpbGbaKaacqGH9aqpcaWGfbGaey 4kaSYaaeWaaeaacaWGjbGaey4kaSIabmyvayaajaaacaGLOaGaayzk aaGaeyOeI0Iabm4tayaajaaaaa@4883@

This formulation of T ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmivayaaja aaaa@36E0@ has three components:

E MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamyraaaa@36C1@ = the number of persons listed on a census formNote 1 (enumerations)

O ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabm4tayaaja aaaa@36DB@ = an estimate of the number of excess enumerationsNote 2

( I+ U ^ ) MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaWaaeWaaeaaca WGjbGaey4kaSIabmyvayaajaaacaGLOaGaayzkaaaaaa@3A1A@ = an estimate of the number of persons who were not listed on a census form but should have been.

The last component, ( I+ U ^ ) MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaWaaeWaaeaaca WGjbGaey4kaSIabmyvayaajaaacaGLOaGaayzkaaaaaa@3A1A@ , is an estimate of the number of persons missed in the census for any reason. The Census of Population collection undercoverage, ( L MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaamitaaaa@36C8@ ), refers to persons not enumerated for any reason. The estimate of census collection undercoverage is given by:

L ^ =( I+ U ^ ) MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmitayaaja Gaeyypa0ZaaeWaaeaacaWGjbGaey4kaSIabmyvayaajaaacaGLOaGa ayzkaaaaaa@3C00@

The corresponding estimate of the Census of Population collection undercoverage rate is:

R ^ L =100 L ^ T ^ =100( I+ U ^ C+ N ^ ) MathType@MTEF@5@5@+= feaagKart1ev2aaatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmOuayaaja WaaSbaaSqaaiaadYeaaeqaaOGaeyypa0JaaGymaiaaicdacaaIWaGa ey4fIOYaaSaaaeaaceWGmbGbaKaaaeaaceWGubGbaKaaaaGaeyypa0 JaaGymaiaaicdacaaIWaGaey4fIOYaaeWaaeaadaWcaaqaaiaadMea cqGHRaWkceWGvbGbaKaaaeaacaWGdbGaey4kaSIabmOtayaajaaaaa GaayjkaiaawMcaaaaa@48C6@

Census of Population net collection undercoverage can be calculated by subtracting overcoverage O ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabm4tayaaja aaaa@36DB@ from L ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmitayaaja aaaa@36D8@ :

T ^ =C+ N ^ =E+( I+ U ^ ) O ^ =E+ L ^ O ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmivayaaja Gaeyypa0Jaam4qaiabgUcaRiqad6eagaqcaiabg2da9iaadweacqGH RaWkdaqadaqaaiaadMeacqGHRaWkceWGvbGbaKaaaiaawIcacaGLPa aacqGHsislceWGpbGbaKaacqGH9aqpcaWGfbGaey4kaSIabmitayaa jaGaeyOeI0Iabm4tayaajaaaaa@487D@

Although net collection undercoverage cannot be applied to census data to adjust for coverage error, L ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmitayaaja aaaa@36D8@ and R ^ L MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmOuayaaja WaaSbaaSqaaiaadYeaaeqaaaaa@37DB@ provide a broader picture of how well the census was able to enumerate the target population. In fact, they include persons not enumerated, whether or not they were taken into account in the census through imputations. Table 12.1 shows the 2021 Census of Population collection undercoverage estimates L ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmitayaaja aaaa@36D8@ and R ^ L MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmOuayaaja WaaSbaaSqaaiaadYeaaeqaaaaa@37DB@ and the population undercoverage estimates U ^ MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmyvayaaja aaaa@36E1@ and R ^ U MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmOuayaaja WaaSbaaSqaaiaadwfaaeqaaaaa@37E4@ (also see Table 1.3). It also shows their estimated standard errors. The results are shown by province or territory and for Canada, and by age group and gender. At the national level, the 2021 Census collection enumerated 92.58% of the target population ( 100 R ^ L MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaGymaiaaic dacaaIWaGaeyOeI0IabmOuayaajaWaaSbaaSqaaiaadYeaaeqaaaaa @3AF7@ ), whereas the official published 2021 Census count represented 95.02% of the persons who should have been included in this figure ( 100 R ^ U MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGaaGymaiaaic dacaaIWaGaeyOeI0IabmOuayaajaWaaSbaaSqaaiaadwfaaeqaaaaa @3B00@ ). The difference between these two rates is simply attributable to the inclusion of the imputations in R ^ L MathType@MTEF@5@5@+= feaagKart1ev2aqatCvAUfeBSjuyZL2yd9gzLbvyNv2CaerbuLwBLn hiov2DGi1BTfMBaeXatLxBI9gBaerbd9wDYLwzYbItLDharqqtubsr 4rNCHbGeaGqiVu0Je9sqqrpepC0xbbL8F4rqqrFfpeea0xe9Lq=Jc9 vqaqpepm0xbba9pwe9Q8fs0=yqaqpepae9pg0FirpepeKkFr0xfr=x fr=xb9adbaqaaeGaciGaaiaabeqaamaabaabaaGcbaGabmOuayaaja WaaSbaaSqaaiaadYeaaeqaaaaa@37DB@ . The 2016 Census enumerated 93.63% of the target population, when 95.68% of the persons who should have been included in the official 2016 Census counts were included. Therefore, the 2021 Census collection enumerated a slightly lower percentage of the target population than the previous census, and there were more imputations than in 2016.

Table 12.1
Estimated population collection undercoverage, population undercoverage and standard errors for various characteristics, 2021 Census Table summary
This table displays the results of Estimated population collection undercoverage, population undercoverage and standard errors for various characteristics, 2021 Census. The information is grouped by Characteristics (appearing as row headers), Population undercoverage and Population collection undercoverage, calculated using standard error, estimated rate (%), estimated number, estimated rate (%) and standard error (%) units of measure (appearing as column headers).
Characteristics Population collection undercoverage Population undercoverage
Estimated number Standard error Estimated rate (%) Standard error (%) Estimated number Standard error Estimated rate (%) Standard error (%)
Note 1

The term “men+” includes men (and boys) and some non-binary people.

Return to note 1 referrer

Note 2

The term “women+” includes women (and girls) and some non-binary people.

Return to note 2 referrer

Note: Coverage estimates may not necessarily add up to the totals because of rounding.
Source: Statistics Canada, 2021 Census Undercoverage Study.
Canada 2,829,222 37,004 7.42 0.09 1,897,876 37,004 4.98 0.09
Provinces and territories
Newfoundland and Labrador 39,055 1,775 7.41 0.31 26,428 1,775 5.02 0.32
Prince Edward Island 13,177 977 8.17 0.56 10,190 977 6.32 0.57
Nova Scotia 70,323 3,373 7.05 0.31 47,196 3,373 4.73 0.32
New Brunswick 50,361 2,655 6.38 0.31 30,165 2,655 3.82 0.32
Quebec 410,770 15,756 4.81 0.18 225,381 15,756 2.64 0.18
Ontario 1,162,640 27,795 7.85 0.17 855,470 27,795 5.78 0.18
Manitoba 106,952 5,089 7.74 0.34 62,443 5,089 4.52 0.35
Saskatchewan 106,650 4,411 9.14 0.34 59,075 4,411 5.06 0.36
Alberta 357,305 12,225 8.09 0.25 231,249 12,225 5.24 0.26
British Columbia 488,394 15,827 9.37 0.28 338,678 15,827 6.50 0.28
Yukon 4,768 170 11.17 0.35 3,294 170 7.71 0.37
Northwest Territories 7,571 227 16.95 0.42 4,426 227 9.91 0.46
Nunavut 11,254 250 28.14 0.45 3,879 250 9.70 0.56
Gender and age groups
Total gender, all ages 2,829,222 37,004 7.42 0.09 1,897,876 37,004 4.98 0.09
0 to 4 years 143,827 5,809 7.58 0.28 98,438 5,809 5.19 0.29
5 to 14 years 231,406 12,630 5.53 0.29 140,303 12,630 3.35 0.29
15 to 17 years 65,929 8,516 5.45 0.67 41,091 8,516 3.40 0.68
18 to 19 years 66,568 8,933 8.13 1.00 48,426 8,933 5.91 1.03
20 to 24 years 375,100 18,381 15.43 0.64 313,912 18,381 12.91 0.66
25 to 34 years 673,702 22,964 12.57 0.37 530,315 22,964 9.89 0.39
35 to 44 years 402,817 19,332 7.85 0.35 281,659 19,332 5.49 0.36
45 to 54 years 301,743 19,130 6.28 0.37 192,317 19,130 4.01 0.38
55 to 64 years 299,714 18,459 5.65 0.33 164,211 18,459 3.10 0.34
65 to 74 years 158,130 13,112 3.91 0.31 49,955 13,112 1.23 0.32
75 years and older 110,285 11,803 3.74 0.39 37,248 11,803 1.26 0.40
Men+,Table 12.1 Note 1 all ages 1,606,471 34,194 8.46 0.16 1,140,736 34,194 6.01 0.17
0 to 4 years 69,726 5,668 7.20 0.54 46,527 5,668 4.80 0.56
5 to 14 years 123,836 8,684 5.75 0.38 76,859 8,684 3.57 0.39
15 to 17 years 35,012 6,595 5.61 1.00 22,004 6,595 3.53 1.02
18 to 19 years 33,034 5,962 7.85 1.31 23,968 5,962 5.70 1.34
20 to 24 years 194,168 13,315 15.44 0.90 163,089 13,315 12.97 0.92
25 to 34 years 403,628 18,903 14.66 0.59 330,497 18,903 12.00 0.60
35 to 44 years 254,696 16,057 9.90 0.56 192,459 16,057 7.48 0.58
45 to 54 years 171,964 15,044 7.24 0.59 116,139 15,044 4.89 0.60
55 to 64 years 183,775 14,720 6.99 0.52 116,176 14,720 4.42 0.54
65 to 74 years 89,756 10,291 4.59 0.50 37,494 10,291 1.92 0.52
75 years and older 46,876 7,677 3.68 0.58 15,524 7,677 1.22 0.60
Women+,Table 12.1 Note 2 all ages 1,222,751 28,656 6.39 0.14 757,140 28,656 3.95 0.14
0 to 4 years 74,101 5,609 7.99 0.56 51,911 5,609 5.60 0.57
5 to 14 years 107,570 9,289 5.29 0.43 63,444 9,289 3.12 0.44
15 to 17 years 30,918 5,677 5.28 0.92 19,088 5,677 3.26 0.94
18 to 19 years 33,534 6,747 8.42 1.55 24,458 6,747 6.14 1.59
20 to 24 years 180,931 14,260 15.42 1.03 150,822 14,260 12.86 1.06
25 to 34 years 270,074 15,010 10.36 0.52 199,818 15,010 7.66 0.53
35 to 44 years 148,120 10,306 5.80 0.38 89,199 10,306 3.49 0.39
45 to 54 years 129,779 12,572 5.35 0.49 76,178 12,572 3.14 0.50
55 to 64 years 115,940 11,524 4.34 0.41 48,036 11,524 1.80 0.42
65 to 74 years 68,375 8,934 3.26 0.41 12,462 8,934 0.60 0.42
75 years and older 63,409 8,843 3.78 0.51 21,724 8,843 1.30 0.52

12.2 Participation of reserves and settlements

12.2.1 Introduction

In 2021, there were 1,026 reserves and settlements, 63 of which were considered incompletely enumerated. For the 63 incompletely enumerated reserves and settlements, dwelling enumeration either was not permitted or was interrupted before it could be completed. There were no 2021 data for the incompletely enumerated reserves and settlements and, as a result, they were not included in any calculations. In the 2016 Census, 14 reserves and settlements were declared incompletely enumerated and, of these, 1 took part in the 2021 Census. In 2011, there were 31 incompletely enumerated reserves and settlements. The large increase in the number of incompletely enumerated reserves and settlements for the 2021 Census relative to the 2016 Census was mainly because of health and safety measures related to the COVID-19 pandemic.

Further information can be found here: Incompletely enumerated reserves and settlements.

The estimates for incompletely enumerated reserves and settlements were based on a model. Since no reliable source is available to verify the assumptions used in the model, these estimates must be used with caution.

12.2.2 Incompletely enumerated reserves and settlements

For 63 incompletely enumerated reserves and settlements, the 2021 Census was not able to produce population counts, and the coverage studies could not directly estimate net population undercoverage. This was because of a lack of 2021 Census data. The counts and net undercoverage were estimated using alternative methods.

To estimate census population counts, a model-based methodology was used for these incompletely enumerated reserves and settlements. For the estimation model, linear regression without intercept was chosen. The model parameter was estimated based on reserves that were completely enumerated in both the 2016 and the 2021 censuses. The model assumed that the 2021 Census count was a linear function of the 2016 Census count for all provinces, with separate estimates for the slope for each province. In particular, incompletely enumerated reserves and settlements were assumed to follow the same growth pattern as completely enumerated reserves and settlements. The model was evaluated for the basic regression assumptions: independence of errors, homogeneity of variances and normality of errors. For each of the 63 incompletely enumerated reserves and settlements, the input variable for the regression model was either the actual census count in 2016 or the estimated census count from the 2016 model. The output of the model was the estimated census count in 2021 for these 63 communities. The resulting estimates should be used with caution as they are based entirely on a model whose assumptions cannot be verified. The validity of these model-based estimates depends on the extent to which the model assumptions capture the true underlying situation.

In the 2016 Census, 14 reserves, with approximately 28,000 persons, were classified as incompletely enumerated. Among the 63 reserves and settlements for which model-based estimates were produced for the 2021 Census, 50 were considered to have been completely enumerated in the 2016 Census, while the other 13 were classified as incompletely enumerated. The total population for the 63 incompletely enumerated reserves and settlements was estimated at 58,480—more than double from 2016.

The model-estimated population counts for the 63 incompletely enumerated reserves and settlements are subject to coverage errors, just like the census population counts for the rest of the country. Net undercoverage for these 63 areas was estimated by calculating the net undercoverage rate for all completely enumerated reserves in the country. That rate was then applied to the estimated census counts of all the incompletely enumerated reserves and settlements. The estimated total population of 58,480 for incompletely enumerated reserves and settlements in 2021 includes this adjustment for coverage errors.

The population estimates for incompletely enumerated reserves and settlements were not included in the estimates of undercoverage, collection undercoverage, overcoverage and net undercoverage presented in this report because they were based on a model, not on census coverage studies. In addition, they do not provide the same level of detail (e.g., estimates by mother tongue or marital status) as the other estimates.

The population estimates for incompletely enumerated reserves and settlements are included in demographic estimates. The estimates, broken down by province and territory, can be found in Table 1 of the “Data quality concepts and methodology” section in the following demographic estimates publication: Annual Demographic Estimates: Canada, Provinces and Territories (Total Population only), 2023, Statistics Canada Catalogue no. 91-215-X.


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