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Year: 1851  |  Province: Ontario  |  County: Northumberland

Brighton, Ontario (1851 census)

Brighton was a census subdivision in Northumberland County, Ontario, recorded in the 1851 Census of Canada with a population of 3,725. The administrative centroid was at approximately 44.113°N, 77.757°W.

Population

In 1851, Brighton had a population of 3,725: 1,952 male and 1,773 female residents. Population density was 40.9 people per square mile.

Population trajectory across census years

YearPopulation
18513,725
18613,713
18713,734
18813,470
18913,017
19012,774
19112,439
19212,247

Cross-year identity established by spatial polygon overlap (SAME_AS chains across the Canadian Census Subdivision boundary files).

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, Brighton shared boundaries with:

Full census record, 1851

The 1851 census recorded 389 measurements for this Census Subdivision across 8 categories. Tables below are collapsible.

Population & families (30 variables)
VariableValue
C10 FAM NO593
Female members of the family who are absent6
Female members of the family who are present1,590
Females present who are not members of the family183
Male members of the family who are present1,695
Male members of the family who are present25
Males present who are not members of the family257
Number of blind females4
Number of blind males4
Number of deaf and dumb females1
Number of deaf and dumb males2
Number of families593
Number of female births in the past year80
Number of females1,773
Number of females attending school377
Number of lunatic males2
Number of male births in the past year95
Number of males1,952
Number of males attending school425
Number of married females574
Number of married males588
Number of single females1,146
Number of single males1,324
Number of widowed females53
Number of widowed males40
POP3,725
POP FX N.11,773
POP MX N.11,952
POP XX N.13,725
Total population3,725
Age structure (55 variables)
VariableValue
Number of females age 3 to 471
Number of females aged 1 to 269
Number of females aged 2 to 367
Number of females aged 4 to 560
Number of females aged 5 to 10253
Number of females under age 183
Number of males aged 1 to 263
Number of males aged 2 to 367
Number of males aged 3 to 457
Number of males aged 4 to 563
Number of males aged 5 to 10309
Number of males under age 188
Number of married females aged 15 to 2029
Number of married females aged 20 to 30205
Number of married females aged 30 to 40165
Number of married females aged 40 to 50106
Number of married females aged 50 to 6049
Number of married females aged 60 to 7016
Number of married females aged 70 to 804
Number of married males aged 15 to 201
Number of married males aged 20 to 30137
Number of married males aged 30 to 40201
Number of married males aged 40 to 50112
Number of married males aged 50 to 6092
Number of married males aged 60 to 7039
Number of married males aged 70 to 805
Number of married males aged 80 to 901
Number of single females aged 10 to 15250
Number of single females aged 15 to 20196
Number of single females aged 20 to 3084
Number of single females aged 30 to 405
Number of single females aged 40 to 506
Number of single females aged 50 to 601
Number of single females aged 60 to 701
Number of single males aged 10 to 15246
Number of single males aged 15 to 20213
Number of single males aged 20 to 30184
Number of single males aged 30 to 4024
Number of single males aged 40 to 504
Number of single males aged 50 to 604
Number of single males aged 60 to 702
Number of widowed females aged 20 to 303
Number of widowed females aged 30 to 405
Number of widowed females aged 40 to 5010
Number of widowed females aged 50 to 6010
Number of widowed females aged 60 to 7015
Number of widowed females aged 70 to 806
Number of widowed females aged 80 to 904
Number of widowed males aged 20 to 301
Number of widowed males aged 30 to 406
Number of widowed males aged 40 to 506
Number of widowed males aged 50 to 6012
Number of widowed males aged 60 to 702
Number of widowed males aged 70 to 808
Number of widowed males aged 80 to 905
Ethnic origin (12 variables)
VariableValue
Number of French Canadians39
Number of persons native to Canada, not of French origin2,831
Number of persons originating in all other places8
Number of persons originating in England or Wales163
Number of persons originating in Germany or Holland1
Number of persons originating in Ireland314
Number of persons originating in New Brunswick9
Number of persons originating in Nova Scotia or Prince Edward Island14
Number of persons originating in Russia, Prussia, or Poland1
Number of persons originating in Scotland26
Number of persons originating in the United States317
Number of persons whose origin is unknown2
Agriculture (73 variables)
VariableValue
Acres of barley68
Acres of buckwheat555
Acres of corn454
Acres of farmland in gardens or orchards398
Acres of farmland in pasture6,309
Acres of farmland in woodland or forest22,011
Acres of farmland under crops11,000
Acres of farmland under cultivation17,707
Acres of land in farms39,718
Acres of oats1,526
Acres of peas1,671
Acres of potatoes318
Acres of rye432
Acres of turnips31
Acres of wheat3,415
BAR AC68
BAR BU1,213
Barrels of beef produced in the past year427
Barrels of pork produced in the past year1,758
BEEF BAR427
Bushels of barley produced in the past year1,213
Bushels of beans produced in the past year251
Bushels of buckwheat produced in the past year8,563
Bushels of carrots produced in the past year2,372
Bushels of clover, timothy, or other grass seed produced in the past year115
Bushels of corn produced in the past year9,808
Bushels of mangel wurtzel produced in the past year107
Bushels of oats produced in the past year33,253
Bushels of peas produced in the past year27,112
Bushels of potatoes produced in the past year18,543
Bushels of rye produced in the past year4,750
Bushels of turnips produced in the past year4,199
Bushels of wheat produced in the past year49,088
BWT AC555
BWT BU8,563
CRN AC454
CRN BU9,808
Gallons of cider produced in the past year2,404
HAY TONS2,922
Number of bulls, oxen, or steers890
Number of calves and heifers990
Number of horses979
Number of milk cows1,446
Number of occupants of farms458
Number of persons living on farms between 10 and 20 acres12
Number of persons living on farms between 100 and 200 acres84
Number of persons living on farms between 20 and 50 acres46
Number of persons living on farms between 50 and 100 acres164
Number of persons living on farms over 200 acres19
Number of persons living on farms under 10 acres133
Number of sheep4,107
Number of swine2,345
OAT AC1,526
OAT BU33,253
PEA AC1,671
PEA BU27,112
PORK BAR1,758
POT AC318
POT BU18,543
Pounds of cheese produced on farms in the past year13,235
Pounds of flax or hemp produced in the past year6
Pounds of homemade butter80,013
Pounds of hops produced in the past year367
Pounds of maple sugar produced in the past year20,057
Pounds of tobacco produced in the past year38
Pounds of wool produced on farms in the past year12,166
RYE AC432
RYE BU4,750
TOB LBS38
Tons of hay produced in the past year2,922
WHT AC3,415
WHT BU49,088
WOOL LBS12,166
Manufacturing & industry (30 variables)
VariableValue
Barrels of flour produced per year by grist mills reporting annual production4,500
Feet of lumber produced per year by saw mills reporting annual production5,525,000
Number of carding and fulling mills1
Number of carding and fulling mills reporting1
Number of carding and fulling mills returning capital400
Number of employees in carding and fulling mills4
Number of employees in grist mills4
Number of employees in saw mills31
Number of employees in tanneries3
Number of grist mills3
Number of grist mills not reporting1
Number of grist mills powered by water3
Number of grist mills reporting annual production2
Number of grist mills returning capital3
Number of saw mills19
Number of saw mills not reporting1
Number of saw mills powered by steam1
Number of saw mills powered by water18
Number of saw mills reporting annual production18
Number of saw mills returning capital19
Number of tanneries3
Number of tanneries reporting3
Number of tanneries returning capital350
Pounds of wool produced in carding and fulling mills in the past year1,400
Value of capital returned by grist mills (pounds sterling)2,900
Value of capital returned by saw mills (pounds sterling)6,025
Value of leather produced in tanneries in the past year (pounds sterling)950
Yards of cloth produced in carding and fulling mills in the past year3,500
Yards of flannel produced in the past year6,748
Yards of fulled cloth produced in the past year3,249
Fisheries (1 variable)
VariableValue
Barrels of cured fish produced in the past year360
Deaths & mortality (15 variables)
VariableValue
Deaths in the past year among females aged 20 to 301
Deaths in the past year among females aged 30 to 402
Deaths in the past year among females aged 60 to 703
Deaths in the past year among females aged 70 to 801
Deaths in the past year among females of all ages10
Deaths in the past year among females of unknown age2
Deaths in the past year among females under age 11
Deaths in the past year among males aged 2 to 34
Deaths in the past year among males aged 20 to 303
Deaths in the past year among males aged 50 to 601
Deaths in the past year among males aged 60 to 702
Deaths in the past year among males of all ages17
Deaths in the past year among males of unknown age4
Deaths in the past year among males under age 13
Total number of deaths in the past year27
Other recorded variables (173 variables)
VariableValue
B LBS80,013
BEN BU251
BOV890
C F BAR360
C H990
C LBS13,235
C01 GM NO MILLS3
C01 SEX MALE1,952
C02 SEX FEM1,773
C03 GM WATER3
C03 TOTAL3,725
C04 GM NO YEAR2
C04 MEM OF FAM M1,695
C05 GM BARRELS YEAR4,500
C05 MEM OF FAM F1,590
C06 NOT MEM OF FAM M257
C07 NOT MEM OF FAM F183
C08 MEM OF FAM ABSENT M25
C09 MEM OF FAM ABSENT F6
C100 BTWN 80 AND 90 M WID5
C103 BTWN 80 AND 90 F WID4
C12 BIRTHS M95
C12 GM CAP NO3
C124 DEATHS AGES NOT GIVEN M4
C125 DEATHS AGES NOT GIVEN F2
C126 MD MALE588
C127 S MALE1,324
C128 WID MALE40
C129 TOT MALE1,952
C13 BIRTHS F80
C13 GM CAP P2,900
C130 MD FEM574
C131 S FEM1,146
C132 WID FEM53
C133 TOT FEM1,773
C134 GRAND TOT3,725
C135 DEATHS M17
C136 DEATHS F10
C137 DEATHS TOT27
C14 GM HANDS4
C14 UNDER 1 M88
C143 ATTND SCHOOL M425
C144 ATTND SCHOOL F377
C145 DEAF AND DUMB M2
C146 DEAF AND DUMB F1
C147 BLIND M4
C148 BLIND F4
C149 LUNATICS M2
C15 GM NO RETURNS1
C15 UNDER 1 F83
C16 DEATHS UNDER 1 M3
C16 SM NO19
C17 DEATHS UNDER 1 F1
C17 SM STEAM1
C18 SM WATER18
C18 UNDER 2 M63
C19 SM NO YEAR18
C19 UNDER 2 F69
C20 SM FEET YEAR5,525,000
C22 UNDER 3 M67
C23 UNDER 3 F67
C24 DEATHS UNDER 3 M4
C26 UNDER 4 M57
C27 UNDER 4 F71
C28 SM RETURNS NO19
C29 SM RETURNS P6,025
C30 SM EMPLOYED31
C30 UNDER 5 M63
C31 SM NO RETURNS1
C31 UNDER 5 F60
C32 CFM NO1
C33 CFM RETURNS1
C34 BTWN 5 AND 10 M309
C34 CFM CAPITAL400
C35 BTWN 5 AND 10 F253
C35 CFM WOOL1,400
C36 CFM CLOTH3,500
C37 CFM HANDS4
C39 BTWN 10 AND 15 M S246
C41 BTWN 10 AND 15 F S250
C44 BTWN 15 AND 20 M MD1
C45 BTWN 15 AND 20 M S213
C46 BTWN 15 AND 20 F MD29
C47 BTWN 15 AND 20 F S196
C50 BTWN 20 AND 30 M MD137
C51 BTWN 20 AND 30 M S184
C52 BTWN 20 AND 30 M WID1
C52 TAN NO3
C53 BTWN 20 AND 30 F MD205
C53 TAN RETURNS3
C54 BTWN 20 AND 30 F S84
C54 TAN CAPITAL350
C55 BTWN 20 AND 30 F WID3
C55 TAN PRODUCE950
C56 BTWN 20 AND 30 M DEATHS3
C56 TAN HANDS3
C57 BTWN 20 AND 30 F DEATHS1
C58 BTWN 30 AND 40 M MD201
C59 BTWN 30 AND 40 M S24
C60 BTWN 30 AND 40 M WID6
C61 BTWN 30 AND 40 F MD165
C62 BTWN 30 AND 40 F S5
C63 BTWN 30 AND 40 F WID5
C65 BTWN 30 AND 40 F DEATHS2
C66 BTWN 40 AND 50 M MD112
C67 BTWN 40 AND 50 M S4
C68 BTWN 40 AND 50 M WID6
C69 BTWN 40 AND 50 F MD106
C70 BTWN 40 AND 50 F S6
C71 BTWN 40 AND 50 F WID10
C74 BTWN 50 AND 60 M MD92
C75 BTWN 50 AND 60 M S4
C76 BTWN 50 AND 60 M WID12
C77 BTWN 50 AND 60 F MD49
C78 BTWN 50 AND 60 F S1
C79 BTWN 50 AND 60 F WID10
C80 BTWN 50 AND 60 M DEATHS1
C82 BTWN 60 AND 70 M MD39
C83 BTWN 60 AND 70 M S2
C84 BTWN 60 AND 70 M WID2
C85 BTWN 60 AND 70 F MD16
C86 BTWN 60 AND 70 F S1
C87 BTWN 60 AND 70 F WID15
C88 BTWN 60 AND 70 M DEATHS2
C89 BTWN 60 AND 70 F DEATHS3
C90 BTWN 70 AND 80 M MD5
C92 BTWN 70 AND 80 M WID8
C93 BTWN 70 AND 80 F MD4
C95 BTWN 70 AND 80 F WID6
C97 BTWN 70 AND 80 F DEATHS1
C98 BTWN 80 AND 90 M MD1
CAR BU2,372
CD NAMENorthumberland
CID GAL2,404
CROP11,000
CULT17,707
DE NL1
ENG WLS163
FC YRDS3,249
FLAN YRDS6,748
FLX LBS6
FREN ORIG39
GARDEN398
GRA BU115
HELD39,718
HOP LBS367
HORSE979
IRE314
LINE NO221
M COWS1,446
MPLS LBS20,057
MW BU107
NB9
NOT FRN2,831
NOT KNOWN2
NS PEI14
O 10 TO 2012
O 100 TO 20084
O 20 TO 5046
O 50 TO 100164
O OVR 20019
O UNDR 10133
OTHER PL8
PASTURE6,309
RU PRU PL1
SCOT26
SHEEP4,107
SWINE2,345
TOT O458
TUR AC31
TUR BU4,199
US317
WOOD22,011

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). "Brighton, Ontario (1851 census)" in HGIS Canada Knowledge Graph. Retrieved from https://jimclifford.ca/hgiscanada/places/on/brighton-on024001-1851/.