HGIS CanadaOntarioBastard › 1851
Year: 1851  |  Province: Ontario  |  County: Leeds

Bastard, Ontario (1851 census)

Bastard was a census subdivision in Leeds County, Ontario, recorded in the 1851 Census of Canada with a population of 3,448. The administrative centroid was at approximately 44.676°N, 76.125°W.

Population

In 1851, Bastard had a population of 3,448: 1,720 male and 1,728 female residents. Population density was 33.8 people per square mile.

Population trajectory across census years

YearPopulation
18513,448
18613,656

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

Neighbouring Census Subdivisions in 1851

In the 1851 census, Bastard shared boundaries with:

Full census record, 1851

The 1851 census recorded 399 measurements for this Census Subdivision across 8 categories. Tables below are collapsible.

Population & families (27 variables)
VariableValue
C10 FAM NO521
Female members of the family who are absent11
Female members of the family who are present1,570
Females present who are not members of the family158
Male members of the family who are present1,535
Male members of the family who are present28
Males present who are not members of the family185
Number of blind males1
Number of deaf and dumb females3
Number of deaf and dumb males2
Number of families521
Number of females1,728
Number of females attending school335
Number of lunatic females2
Number of males1,720
Number of males attending school350
Number of married females542
Number of married males533
Number of single females1,118
Number of single males1,147
Number of widowed females68
Number of widowed males40
POP3,448
POP FX N.11,728
POP MX N.11,720
POP XX N.13,448
Total population3,448
Age structure (60 variables)
VariableValue
Number of females age 3 to 451
Number of females aged 1 to 278
Number of females aged 2 to 380
Number of females aged 4 to 545
Number of females aged 5 to 10271
Number of females under age 170
Number of males aged 1 to 261
Number of males aged 2 to 343
Number of males aged 3 to 458
Number of males aged 4 to 565
Number of males aged 5 to 1026
Number of males under age 167
Number of married females aged 10 to 151
Number of married females aged 15 to 2016
Number of married females aged 20 to 30201
Number of married females aged 30 to 40146
Number of married females aged 40 to 50104
Number of married females aged 50 to 6053
Number of married females aged 60 to 7017
Number of married females aged 70 to 803
Number of married females aged 80 to 901
Number of married males aged 15 to 202
Number of married males aged 20 to 30122
Number of married males aged 30 to 40166
Number of married males aged 40 to 50113
Number of married males aged 50 to 6081
Number of married males aged 60 to 7033
Number of married males aged 70 to 8014
Number of married males aged 80 to 902
Number of single females aged 10 to 15219
Number of single females aged 15 to 20166
Number of single females aged 20 to 30112
Number of single females aged 30 to 408
Number of single females aged 40 to 504
Number of single females aged 50 to 608
Number of single females aged 60 to 705
Number of single males aged 10 to 15250
Number of single males aged 15 to 20179
Number of single males aged 20 to 30138
Number of single males aged 30 to 4015
Number of single males aged 40 to 504
Number of single males aged 50 to 603
Number of single males aged 60 to 702
Number of single males aged 80 to 904
Number of widowed females aged 20 to 303
Number of widowed females aged 30 to 404
Number of widowed females aged 40 to 5012
Number of widowed females aged 50 to 6024
Number of widowed females aged 60 to 7014
Number of widowed females aged 70 to 808
Number of widowed females aged 80 to 902
Number of widowed females aged 90 to 1001
Number of widowed males aged 20 to 305
Number of widowed males aged 30 to 403
Number of widowed males aged 40 to 505
Number of widowed males aged 50 to 608
Number of widowed males aged 60 to 7014
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 (9 variables)
VariableValue
Number of French Canadians19
Number of persons native to Canada, not of French origin2,340
Number of persons originating in England or Wales82
Number of persons originating in Ireland780
Number of persons originating in New Brunswick6
Number of persons originating in Nova Scotia or Prince Edward Island1
Number of persons originating in Scotland11
Number of persons originating in the United States206
Number of persons originating in the West Indies3
Agriculture (70 variables)
VariableValue
Acres of barley13
Acres of buckwheat230
Acres of corn438
Acres of farmland in gardens or orchards156
Acres of farmland in pasture4,799
Acres of farmland in woodland or forest27,555
Acres of farmland under crops12,206
Acres of farmland under cultivation17,161
Acres of land in farms44,716
Acres of oats1,682
Acres of peas560
Acres of potatoes148
Acres of rye104
Acres of turnips16
Acres of wheat2,642
BAR AC13
BAR BU229
Barrels of beef produced in the past year253
Barrels of pork produced in the past year1,431
BEEF BAR253
Bushels of barley produced in the past year229
Bushels of beans produced in the past year137
Bushels of buckwheat produced in the past year2,711
Bushels of carrots produced in the past year70
Bushels of clover, timothy, or other grass seed produced in the past year135
Bushels of corn produced in the past year9,483
Bushels of oats produced in the past year38,179
Bushels of peas produced in the past year6,891
Bushels of potatoes produced in the past year33,303
Bushels of rye produced in the past year1,213
Bushels of turnips produced in the past year1,965
Bushels of wheat produced in the past year34,269
BWT AC230
BWT BU2,711
CRN AC438
CRN BU9,483
Gallons of cider produced in the past year2,861
HAY TONS4,731
Number of bulls, oxen, or steers1,161
Number of calves and heifers1,646
Number of horses1,159
Number of milk cows1,832
Number of occupants of farms512
Number of persons living on farms between 10 and 20 acres107
Number of persons living on farms between 100 and 200 acres7
Number of persons living on farms between 20 and 50 acres193
Number of persons living on farms between 50 and 100 acres112
Number of persons living on farms over 200 acres72
Number of persons living on farms under 10 acres21
Number of sheep5,600
Number of swine2,715
OAT AC1,682
OAT BU38,179
PEA AC560
PEA BU6,891
PORK BAR1,431
POT AC148
POT BU33,303
Pounds of cheese produced on farms in the past year7,059
Pounds of flax or hemp produced in the past year292
Pounds of homemade butter119,812
Pounds of hops produced in the past year20
Pounds of maple sugar produced in the past year20,185
Pounds of wool produced on farms in the past year12,971
RYE AC104
RYE BU1,213
Tons of hay produced in the past year4,731
WHT AC2,642
WHT BU34,269
WOOL LBS12,971
Manufacturing & industry (35 variables)
VariableValue
Feet of lumber produced per year by saw mills reporting annual production180,000
Number of carding and fulling mills2
Number of carding and fulling mills reporting2
Number of carding and fulling mills returning capital400
Number of employees in carding and fulling mills2
Number of employees in foundries7
Number of employees in grist mills4
Number of employees in saw mills7
Number of employees in tanneries4
Number of foundries1
Number of foundries reporting1
Number of foundries returning capital1,750
Number of grist mills3
Number of grist mills powered by water3
Number of grist mills reporting value of annual production or rent2
Number of grist mills returning capital3
Number of saw mills5
Number of saw mills not reporting1
Number of saw mills powered by water5
Number of saw mills reporting annual production2
Number of saw mills reporting value of annual production or rent2
Number of saw mills returning capital5
Number of tanneries4
Number of tanneries reporting3
Number of tanneries returning capital250
Pounds of wool produced in carding and fulling mills in the past year1,500
Value of annual production or rent from grist mills (pounds sterling)270
Value of annual production or rent from saw mills (pounds sterling)62
Value of capital returned by grist mills (pounds sterling)6,600
Value of capital returned by saw mills (pounds sterling)925
Value of iron produced in foundries in the past year (pounds sterling)500
Value of leather produced in tanneries in the past year (pounds sterling)145
Yards of flannel produced in the past year9,078
Yards of fulled cloth produced in the past year4,221
Yards of linen produced in the past year325
Fisheries (1 variable)
VariableValue
Barrels of cured fish produced in the past year13
Deaths & mortality (18 variables)
VariableValue
Deaths in the past year among females aged 1 to 21
Deaths in the past year among females aged 2 to 31
Deaths in the past year among females aged 40 to 501
Deaths in the past year among females aged 50 to 601
Deaths in the past year among females aged 60 to 701
Deaths in the past year among females of all ages6
Deaths in the past year among females under age 11
Deaths in the past year among males age 3 to 41
Deaths in the past year among males aged 1 to 22
Deaths in the past year among males aged 10 to 151
Deaths in the past year among males aged 20 to 302
Deaths in the past year among males aged 40 to 502
Deaths in the past year among males aged 5 to 101
Deaths in the past year among males aged 70 to 802
Deaths in the past year among males aged 80 to 901
Deaths in the past year among males of all ages14
Deaths in the past year among males under age 12
Total number of deaths in the past year20
Other recorded variables (179 variables)
VariableValue
B LBS119,812
BEN BU137
BOV1,161
C F BAR13
C H1,646
C LBS7,059
C01 GM NO MILLS3
C01 SEX MALE1,720
C02 SEX FEM1,728
C03 GM WATER3
C03 TOTAL3,448
C04 MEM OF FAM M1,535
C05 MEM OF FAM F1,570
C06 NOT MEM OF FAM M185
C07 NOT MEM OF FAM F158
C08 MEM OF FAM ABSENT M28
C09 MEM OF FAM ABSENT F11
C10 GM ANNUAL NO2
C100 BTWN 80 AND 90 M WID2
C101 BTWN 80 AND 90 F MD1
C103 BTWN 80 AND 90 F WID2
C104 BTWN 80 AND 90 M DEATHS1
C108 BTWN 90 AND 100 M WID1
C11 GM ANNUAL P270
C111 BTWN 90 AND 100 F WID1
C12 GM CAP NO3
C126 MD MALE533
C127 S MALE1,147
C128 WID MALE40
C129 TOT MALE1,720
C13 GM CAP P6,600
C130 MD FEM542
C131 S FEM1,118
C132 WID FEM68
C133 TOT FEM1,728
C134 GRAND TOT3,448
C135 DEATHS M14
C136 DEATHS F6
C137 DEATHS TOT20
C14 GM HANDS4
C14 UNDER 1 M67
C143 ATTND SCHOOL M350
C144 ATTND SCHOOL F335
C145 DEAF AND DUMB M2
C146 DEAF AND DUMB F3
C147 BLIND M1
C15 UNDER 1 F70
C150 LUNATICS F2
C16 DEATHS UNDER 1 M2
C16 SM NO5
C17 DEATHS UNDER 1 F1
C18 SM WATER5
C18 UNDER 2 M61
C19 SM NO YEAR2
C19 UNDER 2 F78
C20 DEATHS UNDER 2 M2
C20 SM FEET YEAR180,000
C21 DEATHS UNDER 2 F1
C22 UNDER 3 M43
C23 UNDER 3 F80
C25 DEATHS UNDER 3 F1
C26 SM ANNUAL NO2
C26 UNDER 4 M58
C27 SM ANNUAL P62
C27 UNDER 4 F51
C28 DEATHS UNDER 4 M1
C28 SM RETURNS NO5
C29 SM RETURNS P925
C30 SM EMPLOYED7
C30 UNDER 5 M65
C31 SM NO RETURNS1
C31 UNDER 5 F45
C32 CFM NO2
C33 CFM RETURNS2
C34 BTWN 5 AND 10 M26
C34 CFM CAPITAL400
C35 BTWN 5 AND 10 F271
C35 CFM WOOL1,500
C36 DEATHS BTWN 5 AND 10 M1
C37 CFM HANDS2
C39 BTWN 10 AND 15 M S250
C40 BTWN 10 AND 15 F MD1
C41 BTWN 10 AND 15 F S219
C42 BTWN 10 AND 15 M DEATHS1
C44 BTWN 15 AND 20 M MD2
C45 BTWN 15 AND 20 M S179
C46 BTWN 15 AND 20 F MD16
C47 BTWN 15 AND 20 F S166
C50 BTWN 20 AND 30 M MD122
C51 BTWN 20 AND 30 M S138
C52 BTWN 20 AND 30 M WID5
C52 TAN NO4
C53 BTWN 20 AND 30 F MD201
C53 TAN RETURNS3
C54 BTWN 20 AND 30 F S112
C54 TAN CAPITAL250
C55 BTWN 20 AND 30 F WID3
C55 TAN PRODUCE145
C56 BTWN 20 AND 30 M DEATHS2
C56 TAN HANDS4
C58 BTWN 30 AND 40 M MD166
C58 F NO1
C59 BTWN 30 AND 40 M S15
C59 F RETURNS1
C60 BTWN 30 AND 40 M WID3
C60 F CAPITAL1,750
C61 BTWN 30 AND 40 F MD146
C61 F PRODUCE500
C62 BTWN 30 AND 40 F S8
C62 F HANDS7
C63 BTWN 30 AND 40 F WID4
C66 BTWN 40 AND 50 M MD113
C67 BTWN 40 AND 50 M S4
C68 BTWN 40 AND 50 M WID5
C69 BTWN 40 AND 50 F MD104
C70 BTWN 40 AND 50 F S4
C71 BTWN 40 AND 50 F WID12
C72 BTWN 40 AND 50 M DEATHS2
C73 BTWN 40 AND 50 F DEATHS1
C74 BTWN 50 AND 60 M MD81
C75 BTWN 50 AND 60 M S3
C76 BTWN 50 AND 60 M WID8
C77 BTWN 50 AND 60 F MD53
C78 BTWN 50 AND 60 F S8
C79 BTWN 50 AND 60 F WID24
C81 BTWN 50 AND 60 F DEATHS1
C82 BTWN 60 AND 70 M MD33
C83 BTWN 60 AND 70 M S2
C84 BTWN 60 AND 70 M WID14
C85 BTWN 60 AND 70 F MD17
C86 BTWN 60 AND 70 F S5
C87 BTWN 60 AND 70 F WID14
C89 BTWN 60 AND 70 F DEATHS1
C90 BTWN 70 AND 80 M MD14
C92 BTWN 70 AND 80 M WID2
C93 BTWN 70 AND 80 F MD3
C95 BTWN 70 AND 80 F WID8
C96 BTWN 70 AND 80 M DEATHS2
C98 BTWN 80 AND 90 M MD2
C99 BTWN 80 AND 90 M S4
CAR BU70
CD NAMELeeds
CID GAL2,861
CROP12,206
CULT17,161
ENG WLS82
FC YRDS4,221
FLAN YRDS9,078
FLX LBS292
FREN ORIG19
GARDEN156
GRA BU135
HELD44,716
HOP LBS20
HORSE1,159
IRE780
LIN YRDS325
LINE NO177
M COWS1,832
MPLS LBS20,185
NB6
NOT FRN2,340
NS PEI1
O 10 TO 20107
O 100 TO 2007
O 20 TO 50193
O 50 TO 100112
O OVR 20072
O UNDR 1021
PASTURE4,799
SCOT11
SHEEP5,600
SWINE2,715
TOT O512
TUR AC16
TUR BU1,965
US206
WOOD27,555
WST IN3

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). "Bastard, Ontario (1851 census)" in HGIS Canada Knowledge Graph. Retrieved from https://jimclifford.ca/hgiscanada/places/on/bastard-on020001-1851/.