HGIS CanadaQuebecThree Rivers, Gaol of Three Rivers, Friar’s School, Ursulines › 1851
Year: 1851  |  Province: Quebec  |  County: St. Maurice

Three Rivers, Gaol of Three Rivers, Friar’s School, Ursulines, Quebec (1851 census)

Three Rivers, Gaol of Three Rivers, Friar’s School, Ursulines was a census subdivision in St. Maurice County, Quebec, recorded in the 1851 Census of Canada with a population of 4,936. The administrative centroid was at approximately 46.347°N, 72.556°W.

Population

In 1851, Three Rivers, Gaol of Three Rivers, Friar’s School, Ursulines had a population of 4,936: 2,525 male and 2,411 female residents. Population density was 917.2 people per square mile.

Boundary continuity (non-identical overlaps)

Spatial polygon overlaps with adjacent census years where the boundary shifted enough that the SAME_AS chain didn't merge them. These show where the territory came from and went to even when it isn't tracked as the same persistent place.

Later boundary forms

Neighbouring Census Subdivisions in 1851

In the 1851 census, Three Rivers, Gaol of Three Rivers, Friar’s School, Ursulines shared boundaries with:

Full census record, 1851

The 1851 census recorded 394 measurements for this Census Subdivision across 7 categories. Tables below are collapsible.

Population & families (27 variables)
VariableValue
C10 FAM NO864
Female members of the family who are absent17
Female members of the family who are present2,125
Females present who are not members of the family286
Male members of the family who are present2,295
Male members of the family who are present64
Males present who are not members of the family230
Number of blind males1
Number of deaf and dumb females1
Number of families864
Number of female births in the past year49
Number of females2,411
Number of females attending school172
Number of male births in the past year52
Number of males2,525
Number of males attending school258
Number of married females834
Number of married males824
Number of single females1,453
Number of single males1,643
Number of widowed females124
Number of widowed males58
POP4,936
POP FX N.12,411
POP MX N.12,525
POP XX N.14,936
Total population4,936
Age structure (67 variables)
VariableValue
Number of females age 3 to 444
Number of females aged 1 to 280
Number of females aged 2 to 393
Number of females aged 4 to 562
Number of females aged 5 to 10222
Number of females of unknown age11
Number of females under age 161
Number of males aged 1 to 288
Number of males aged 2 to 392
Number of males aged 3 to 441
Number of males aged 4 to 568
Number of males aged 5 to 10284
Number of males of unknown age3
Number of males under age 164
Number of married females aged 15 to 2048
Number of married females aged 20 to 30317
Number of married females aged 30 to 40181
Number of married females aged 40 to 50192
Number of married females aged 50 to 6064
Number of married females aged 60 to 7021
Number of married females aged 70 to 808
Number of married females aged 80 to 902
Number of married females aged 90 to 1001
Number of married males aged 15 to 2038
Number of married males aged 20 to 30266
Number of married males aged 30 to 40246
Number of married males aged 40 to 50176
Number of married males aged 50 to 6066
Number of married males aged 60 to 7024
Number of married males aged 70 to 806
Number of married males aged 80 to 902
Number of single females aged 10 to 15174
Number of single females aged 15 to 20226
Number of single females aged 20 to 30301
Number of single females aged 30 to 40106
Number of single females aged 40 to 5050
Number of single females aged 50 to 6015
Number of single females aged 60 to 706
Number of single females aged 70 to 802
Number of single females aged 80 to 901
Number of single females aged 90 to 1001
Number of single males aged 10 to 15193
Number of single males aged 15 to 20272
Number of single males aged 20 to 30321
Number of single males aged 30 to 40120
Number of single males aged 40 to 5060
Number of single males aged 50 to 6024
Number of single males aged 60 to 708
Number of single males aged 70 to 803
Number of single males aged 80 to 901
Number of single males aged 90 to 1001
Number of widowed females aged 20 to 306
Number of widowed females aged 30 to 4028
Number of widowed females aged 40 to 5033
Number of widowed females aged 50 to 6028
Number of widowed females aged 60 to 7019
Number of widowed females aged 70 to 807
Number of widowed females aged 80 to 902
Number of widowed females aged 90 to 1001
Number of widowed males aged 20 to 306
Number of widowed males aged 30 to 4010
Number of widowed males aged 40 to 5015
Number of widowed males aged 50 to 6018
Number of widowed males aged 60 to 704
Number of widowed males aged 70 to 802
Number of widowed males aged 80 to 902
Number of widowed males aged 90 to 1001
Ethnic origin (8 variables)
VariableValue
Number of French Canadians4,266
Number of persons native to Canada, not of French origin427
Number of persons originating in all other places32
Number of persons originating in England or Wales30
Number of persons originating in Germany or Holland5
Number of persons originating in Ireland112
Number of persons originating in Scotland44
Number of persons originating in the United States20
Agriculture (69 variables)
VariableValue
Acres of barley28
Acres of buckwheat107
Acres of corn10
Acres of farmland in gardens or orchards76
Acres of farmland in pasture794
Acres of farmland in woodland or forest2,298
Acres of farmland under crops1,608
Acres of farmland under cultivation2,478
Acres of land in farms4,776
Acres of oats595
Acres of peas69
Acres of potatoes75
Acres of rye18
Acres of turnips13
Acres of wheat222
BAR AC28
BAR BU382
Barrels of beef produced in the past year2
Barrels of pork produced in the past year20
BEEF BAR2
Bushels of barley produced in the past year382
Bushels of beans produced in the past year1
Bushels of buckwheat produced in the past year1,284
Bushels of carrots produced in the past year65
Bushels of corn produced in the past year136
Bushels of mangel wurtzel produced in the past year30
Bushels of oats produced in the past year13,345
Bushels of peas produced in the past year533
Bushels of potatoes produced in the past year5,982
Bushels of rye produced in the past year134
Bushels of turnips produced in the past year2,856
Bushels of wheat produced in the past year2,394
BWT AC107
BWT BU1,284
CRN AC10
CRN BU136
HAY TONS113,570
Number of bulls, oxen, or steers22
Number of calves and heifers76
Number of horses170
Number of milk cows221
Number of occupants of farms119
Number of persons living on farms between 10 and 20 acres3
Number of persons living on farms between 100 and 200 acres9
Number of persons living on farms between 20 and 50 acres17
Number of persons living on farms between 50 and 100 acres12
Number of persons living on farms over 200 acres2
Number of persons living on farms under 10 acres76
Number of sheep227
Number of swine130
OAT AC595
OAT BU13,345
PEA AC69
PEA BU533
PORK BAR20
POT AC75
POT BU5,982
Pounds of flax or hemp produced in the past year62
Pounds of homemade butter4,314
Pounds of maple sugar produced in the past year600
Pounds of tobacco produced in the past year25
Pounds of wool produced on farms in the past year284
RYE AC18
RYE BU134
TOB LBS25
Tons of hay produced in the past year113,570
WHT AC222
WHT BU2,394
WOOL LBS284
Manufacturing & industry (41 variables)
VariableValue
Barrels of flour produced per day by grist mills reporting daily production 
Gallons of beer produced in breweries in the past year125
Number of breweries1
Number of breweries not reporting 
Number of breweries reporting1
Number of breweries returning capital50
Number of carding and fulling mills1
Number of carding and fulling mills reporting1
Number of carding and fulling mills returning capital100
Number of employees in breweries2
Number of employees in carding and fulling mills1
Number of employees in foundries4
Number of employees in grist mills4
Number of employees in saw mills 
Number of foundries2
Number of foundries reporting2
Number of foundries returning capital550
Number of grist mills4
Number of grist mills not reporting1
Number of grist mills powered by steam3
Number of grist mills powered by water1
Number of grist mills reporting value of annual production or rent3
Number of grist mills returning capital4
Number of saw mill plants 
Number of saw mills 
Number of saw mills not reporting 
Number of saw mills powered by steam 
Number of saw mills powered by water 
Number of saw mills reporting value of annual production or rent 
Number of saw mills returning capital 
Number of tanneries 
Number of tanneries not reporting 
Pounds of wool produced in carding and fulling mills in the past year 
Value of annual production or rent from grist mills (pounds sterling)140
Value of annual production or rent from saw mills (pounds sterling) 
Value of capital returned by grist mills (pounds sterling)355
Value of capital returned by saw mills (pounds sterling) 
Value of iron produced in foundries in the past year (pounds sterling)400
Yards of flannel produced in the past year89
Yards of fulled cloth produced in the past year79
Yards of linen produced in the past year14
Deaths & mortality (14 variables)
VariableValue
Deaths in the past year among females aged 20 to 301
Deaths in the past year among females aged 4 to 51
Deaths in the past year among females aged 5 to 101
Deaths in the past year among females of all ages4
Deaths in the past year among females under age 11
Deaths in the past year among males aged 1 to 24
Deaths in the past year among males aged 20 to 301
Deaths in the past year among males aged 30 to 401
Deaths in the past year among males aged 40 to 501
Deaths in the past year among males aged 60 to 701
Deaths in the past year among males of all ages10
Deaths in the past year among males of unknown age1
Deaths in the past year among males under age 11
Total number of deaths in the past year14
Other recorded variables (168 variables)
VariableValue
B LBS4,314
BEN BU1
BOV22
C H76
C01 GM NO MILLS4
C01 SEX MALE2,525
C02 GM STEAM3
C02 SEX FEM2,411
C03 GM WATER1
C03 TOTAL4,936
C04 MEM OF FAM M2,295
C05 MEM OF FAM F2,125
C06 NOT MEM OF FAM M230
C07 NOT MEM OF FAM F286
C08 MEM OF FAM ABSENT M64
C09 MEM OF FAM ABSENT F17
C10 GM ANNUAL NO3
C100 BTWN 80 AND 90 M WID2
C101 BTWN 80 AND 90 F MD2
C102 BTWN 80 AND 90 F S1
C103 BTWN 80 AND 90 F WID2
C107 BTWN 90 AND 100 M S1
C108 BTWN 90 AND 100 M WID1
C109 BTWN 90 AND 100 F MD1
C11 GM ANNUAL P140
C110 BTWN 90 AND 100 F S1
C111 BTWN 90 AND 100 F WID1
C12 BIRTHS M52
C12 GM CAP NO4
C122 AGES NOT GIVEN M3
C123 AGES NOT GIVEN F11
C124 DEATHS AGES NOT GIVEN M1
C126 MD MALE824
C127 S MALE1,643
C128 WID MALE58
C129 TOT MALE2,525
C13 BIRTHS F49
C13 GM CAP P355
C130 MD FEM834
C131 S FEM1,453
C132 WID FEM124
C133 TOT FEM2,411
C134 GRAND TOT4,936
C135 DEATHS M10
C136 DEATHS F4
C137 DEATHS TOT14
C14 GM HANDS4
C14 UNDER 1 M64
C143 ATTND SCHOOL M258
C144 ATTND SCHOOL F172
C146 DEAF AND DUMB F1
C147 BLIND M1
C15 GM NO RETURNS1
C15 UNDER 1 F61
C16 DEATHS UNDER 1 M1
C17 DEATHS UNDER 1 F1
C18 UNDER 2 M88
C19 UNDER 2 F80
C20 DEATHS UNDER 2 M4
C22 UNDER 3 M92
C23 UNDER 3 F93
C26 UNDER 4 M41
C27 UNDER 4 F44
C30 UNDER 5 M68
C31 UNDER 5 F62
C32 CFM NO1
C33 CFM RETURNS1
C33 DEATHS UNDER 5 F1
C34 BTWN 5 AND 10 M284
C34 CFM CAPITAL100
C35 BTWN 5 AND 10 F222
C37 CFM HANDS1
C37 DEATHS BTWN 5 AND 10 F1
C39 BTWN 10 AND 15 M S193
C41 BTWN 10 AND 15 F S174
C44 BTWN 15 AND 20 M MD38
C45 BTWN 15 AND 20 M S272
C46 BTWN 15 AND 20 F MD48
C47 BTWN 15 AND 20 F S226
C50 BTWN 20 AND 30 M MD266
C51 BTWN 20 AND 30 M S321
C52 BTWN 20 AND 30 M WID6
C53 BTWN 20 AND 30 F MD317
C54 BTWN 20 AND 30 F S301
C55 BTWN 20 AND 30 F WID6
C56 BTWN 20 AND 30 M DEATHS1
C57 BTWN 20 AND 30 F DEATHS1
C58 BTWN 30 AND 40 M MD246
C58 F NO2
C59 BTWN 30 AND 40 M S120
C59 F RETURNS2
C60 BTWN 30 AND 40 M WID10
C60 F CAPITAL550
C61 BTWN 30 AND 40 F MD181
C61 F PRODUCE400
C62 BTWN 30 AND 40 F S106
C62 F HANDS4
C63 BTWN 30 AND 40 F WID28
C64 BREW NO1
C64 BTWN 30 AND 40 M DEATHS1
C65 BREW RETURNS1
C66 BREW CAPITAL50
C66 BTWN 40 AND 50 M MD176
C67 BREW PRODUCE125
C67 BTWN 40 AND 50 M S60
C68 BREW HANDS2
C68 BTWN 40 AND 50 M WID15
C69 BTWN 40 AND 50 F MD192
C70 BTWN 40 AND 50 F S50
C71 BTWN 40 AND 50 F WID33
C72 BTWN 40 AND 50 M DEATHS1
C74 BTWN 50 AND 60 M MD66
C75 BTWN 50 AND 60 M S24
C76 BTWN 50 AND 60 M WID18
C77 BTWN 50 AND 60 F MD64
C78 BTWN 50 AND 60 F S15
C79 BTWN 50 AND 60 F WID28
C82 BTWN 60 AND 70 M MD24
C83 BTWN 60 AND 70 M S8
C84 BTWN 60 AND 70 M WID4
C85 BTWN 60 AND 70 F MD21
C86 BTWN 60 AND 70 F S6
C87 BTWN 60 AND 70 F WID19
C88 BTWN 60 AND 70 M DEATHS1
C90 BTWN 70 AND 80 M MD6
C91 BTWN 70 AND 80 M S3
C92 BTWN 70 AND 80 M WID2
C93 BTWN 70 AND 80 F MD8
C94 BTWN 70 AND 80 F S2
C95 BTWN 70 AND 80 F WID7
C98 BTWN 80 AND 90 M MD2
C99 BTWN 80 AND 90 M S1
CAR BU65
CD NAMESt. Maurice
CROP1,608
CULT2,478
DE NL5
ENG WLS30
FC YRDS79
FLAN YRDS89
FLX LBS62
FREN ORIG4,266
GARDEN76
HELD4,776
HORSE170
IRE112
LIN YRDS14
LINE NO1,365
M COWS221
MPLS LBS600
MW BU30
NOT FRN427
O 10 TO 203
O 100 TO 2009
O 20 TO 5017
O 50 TO 10012
O OVR 2002
O UNDR 1076
OTHER PL32
PASTURE794
SCOT44
SHEEP227
SWINE130
TOT O119
TUR AC13
TUR BU2,856
US20
WOOD2,298

Identifiers

Sources

Census tabulations from the 1851 Census of Canada, transcribed and georeferenced by the Canadian Peoples / TCP project, hosted at the HGIS Lab, University of Saskatchewan. Persistent place identity computed from spatial-overlap chains across all available census years (1851–1921). Identity grounding to Wikidata performed via the HGIS Canada Knowledge Graph project's MCP-assisted disambiguation pipeline. See the About / Methodology page for the full data pipeline.

Cite this page

Clifford, J. (2026). "Three Rivers, Gaol of Three Rivers, Friar’s School, Ursulines, Quebec (1851 census)" in HGIS Canada Knowledge Graph. Retrieved from https://jimclifford.ca/hgiscanada/places/qc/three-rivers-gaol-of-three-rivers-friar-s-school-ursulines-qc073001-1851/.