F21_Total
(
type: esriFieldTypeInteger, alias: First Nations (North American Indian) and Inuit ancestries (Total)
)
F25_Male
(
type: esriFieldTypeInteger, alias: Single Aboriginal and non-Aboriginal ancestries (Male)
)
F10_Male
(
type: esriFieldTypeInteger, alias: Total - Population by Registered or Treaty Indian status for the population in private households - 25% sample data (Male)
)
F23_Male
(
type: esriFieldTypeInteger, alias: First Nations (North American Indian) Metis and Inuit ancestries (Male)
)
F30_Female
(
type: esriFieldTypeInteger, alias: First Nations (North American Indian) Metis and non-Aboriginal ancestries (Female)
)
F10_Total
(
type: esriFieldTypeInteger, alias: Total - Population by Registered or Treaty Indian status for the population in private households - 25% sample data
)
F33_Male
(
type: esriFieldTypeInteger, alias: First Nations (North American Indian) Metis Inuit and non-Aboriginal ancestries (Male)
)
F17_Total
(
type: esriFieldTypeInteger, alias: Metis single ancestry (Total)
)
F30_Male
(
type: esriFieldTypeInteger, alias: First Nations (North American Indian) Metis and non-Aboriginal ancestries (Male)
)
F10_Female
(
type: esriFieldTypeInteger, alias: Total - Population by Registered or Treaty Indian status for the population in private households - 25% sample data (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Admission category and applicant type for the immigrant population in private households who landed between 1980 and 2016 - 25% sample data
)
F7_Total
(
type: esriFieldTypeInteger, alias: Other immigrants (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Admission category and applicant type for the immigrant population in private households who landed between 1980 and 2016 - 25% sample data (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Other immigrants (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Admission category and applicant type for the immigrant population in private households who landed between 1980 and 2016 - 25% sample data (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Age at immigration for the immigrant population in private households - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Under 5 years (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: 5 to 14 years (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: 15 to 24 years (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: 25 to 44 years (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: 45 years and over (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Age at immigration for the immigrant population in private households - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Under 5 years (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: 5 to 14 years (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: 15 to 24 years (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: 25 to 44 years (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: 45 years and over (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Age at immigration for the immigrant population in private households - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Under 5 years (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: 5 to 14 years (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: 15 to 24 years (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: 25 to 44 years (Female)
)
F6_Female
(
type: esriFieldTypeInteger, alias: 45 years and over (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Commuting destination for the employed labour force aged 15 years and over in private households with a usual place of work - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Commute within census subdivision (CSD) of residence (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) within census division (CD) of residence (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Commute to a different province or territory (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Commuting destination for the employed labour force aged 15 years and over in private households with a usual place of work - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Commute within census subdivision (CSD) of residence (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) within census division (CD) of residence (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Commute to a different province or territory (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Commuting destination for the employed labour force aged 15 years and over in private households with a usual place of work - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Commute within census subdivision (CSD) of residence (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) within census division (CD) of residence (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Commute to a different census subdivision (CSD) and census division (CD) within province or territory of residence (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Commute to a different province or territory (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Commuting duration for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Less than 15 minutes (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: 60 minutes and over (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Commuting duration for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Less than 15 minutes (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: 60 minutes and over (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Commuting duration for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Less than 15 minutes (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - First official language spoken for the total population excluding institutional residents - 100% data
)
F2_Total
(
type: esriFieldTypeInteger, alias: English (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: French (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: English and French (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Neither English nor French (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Official language minority (number) (Total)
)
F7_Total
(
type: esriFieldTypeDouble, alias: Official language minority (percentage) (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - First official language spoken for the total population excluding institutional residents - 100% data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: English (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: French (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: English and French (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Neither English nor French (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Official language minority (number) (Male)
)
F7_Male
(
type: esriFieldTypeDouble, alias: Official language minority (percentage) (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - First official language spoken for the total population excluding institutional residents - 100% data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: English (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: French (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: English and French (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Neither English nor French (Female)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Official language minority (number) (Female)
)
F7_Female
(
type: esriFieldTypeDouble, alias: Official language minority (percentage) (Female)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Total)
)
F13_Female
(
type: esriFieldTypeInteger, alias: Degree in medicine dentistry veterinary medicine or optometry (Female)
)
F2_Total
(
type: esriFieldTypeInteger, alias: No certificate diploma or degree (Total)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 15 years and over in private households - 25% sample data (Female)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Secondary (high) school diploma or equivalency certificate (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 15 years and over in private households - 25% sample data (Male)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Female)
)
F2_Male
(
type: esriFieldTypeInteger, alias: No certificate diploma or degree (Male)
)
F8_Female
(
type: esriFieldTypeInteger, alias: College CEGEP or other non-university certificate or diploma (Female)
)
F9_Female
(
type: esriFieldTypeInteger, alias: University certificate or diploma below bachelor level (Female)
)
F7_Female
(
type: esriFieldTypeInteger, alias: Certificate of Apprenticeship or Certificate of Qualification (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 15 years and over in private households - 25% sample data
)
F6_Male
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Male)
)
F9_Total
(
type: esriFieldTypeInteger, alias: University certificate or diploma below bachelor level (Total)
)
F41_Total
(
type: esriFieldTypeInteger, alias: 3 or more household maintainers (Total)
)
F42_Total
(
type: esriFieldTypeInteger, alias: Total - Private households by age of primary household maintainers - 25% sample data
)
F43_Total
(
type: esriFieldTypeInteger, alias: 15 to 24 years (Total)
)
F44_Total
(
type: esriFieldTypeInteger, alias: 25 to 34 years (Total)
)
F45_Total
(
type: esriFieldTypeInteger, alias: 35 to 44 years (Total)
)
F46_Total
(
type: esriFieldTypeInteger, alias: 45 to 54 years (Total)
)
F47_Total
(
type: esriFieldTypeInteger, alias: 55 to 64 years (Total)
)
F48_Total
(
type: esriFieldTypeInteger, alias: 65 to 74 years (Total)
)
F49_Total
(
type: esriFieldTypeInteger, alias: 75 to 84 years (Total)
)
F50_Total
(
type: esriFieldTypeInteger, alias: 85 years and over (Total)
)
F51_Total
(
type: esriFieldTypeInteger, alias: Total - Owner and tenant households with household total income greater than zero in non-farm non-reserve private dwellings by shelter-cost-to-income ratio - 25% sample data
)
F52_Total
(
type: esriFieldTypeInteger, alias: Spending less than 30% of income on shelter costs (Total)
)
F53_Total
(
type: esriFieldTypeInteger, alias: Spending 30% or more of income on shelter costs (Total)
)
F54_Total
(
type: esriFieldTypeInteger, alias: 30% to less than 100% (Total)
)
F55_Total
(
type: esriFieldTypeInteger, alias: Total - Owner households in non-farm non-reserve private dwellings - 25% sample data
)
F56_Total
(
type: esriFieldTypeDouble, alias: % of owner households with a mortgage (Total)
)
F57_Total
(
type: esriFieldTypeDouble, alias: % of owner households spending 30% or more of its income on shelter costs (Total)
)
F58_Total
(
type: esriFieldTypeInteger, alias: Median monthly shelter costs for owned dwellings ($) (Total)
)
F59_Total
(
type: esriFieldTypeInteger, alias: Average monthly shelter costs for owned dwellings ($) (Total)
)
F60_Total
(
type: esriFieldTypeInteger, alias: Median value of dwellings ($) (Total)
)
F61_Total
(
type: esriFieldTypeInteger, alias: Average value of dwellings ($) (Total)
)
F62_Total
(
type: esriFieldTypeInteger, alias: Total - Tenant households in non-farm non-reserve private dwellings - 25% sample data
)
F63_Total
(
type: esriFieldTypeDouble, alias: % of tenant households in subsidized housing (Total)
)
F64_Total
(
type: esriFieldTypeDouble, alias: % of tenant households spending 30% or more of its income on shelter costs (Total)
)
F65_Total
(
type: esriFieldTypeInteger, alias: Median monthly shelter costs for rented dwellings ($) (Total)
)
F66_Total
(
type: esriFieldTypeInteger, alias: Average monthly shelter costs for rented dwellings ($) (Total)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Immigrant status and period of immigration for the population in private households - 25% sample data
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Immigrant status and period of immigration for the population in private households - 25% sample data (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Immigrant status and period of immigration for the population in private households - 25% sample data (Female)
)
F58_Total
(
type: esriFieldTypeInteger, alias: Viet Nam (Total)
)
F59_Total
(
type: esriFieldTypeInteger, alias: Other places of birth in Asia (Total)
)
F60_Total
(
type: esriFieldTypeInteger, alias: Oceania and other places of birth (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Selected places of birth for the immigrant population in private households - 25% sample data (Male)
)
F58_Male
(
type: esriFieldTypeInteger, alias: Viet Nam (Male)
)
F59_Male
(
type: esriFieldTypeInteger, alias: Other places of birth in Asia (Male)
)
F60_Male
(
type: esriFieldTypeInteger, alias: Oceania and other places of birth (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Selected places of birth for the immigrant population in private households - 25% sample data (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for economic families in private households - 100% data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Median total income of economic families in 2015 ($) (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income of economic families in 2015 ($) (Total)
)
F4_Total
(
type: esriFieldTypeDouble, alias: Average family size of economic families (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for couple economic families without children or other relatives in private households - 100% data
)
F6_Total
(
type: esriFieldTypeInteger, alias: Median total income of couple economic families without children or other relatives in 2015 ($) (Total)
)
F7_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income of couple economic families without children or other relatives in 2015 ($) (Total)
)
F8_Total
(
type: esriFieldTypeInteger, alias: Average family size of couple economic families without children or other relatives (Total)
)
F9_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for couple economic families with children in private households - 100% data
)
F10_Total
(
type: esriFieldTypeInteger, alias: Median total income of couple economic families with children in 2015 ($) (Total)
)
F11_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income of couple economic families with children in 2015 ($) (Total)
)
F12_Total
(
type: esriFieldTypeDouble, alias: Average family size of couple economic families with children (Total)
)
F13_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for lone-parent economic families in private households - 100% data
)
F14_Total
(
type: esriFieldTypeInteger, alias: Median total income of lone-parent economic families in 2015 ($) (Total)
)
F15_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income of lone-parent economic families in 2015 ($) (Total)
)
F16_Total
(
type: esriFieldTypeDouble, alias: Average family size of lone-parent economic families (Total)
)
F17_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for economic families in private households - 25% sample data
)
F18_Total
(
type: esriFieldTypeInteger, alias: Average total income of economic families in 2015 ($) (Total)
)
F19_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income of economic families in 2015 ($) (Total)
)
F20_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for couple economic families without children or other relatives in private households - 25% sample data
)
F21_Total
(
type: esriFieldTypeInteger, alias: Average total income of couple economic families without children or other relatives in 2015 ($) (Total)
)
F22_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income of couple economic families without children or other relatives in 2015 ($) (Total)
)
F23_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for couple economic families with children in private households - 25% sample data
)
F24_Total
(
type: esriFieldTypeInteger, alias: Average total income of couple economic families with children in 2015 ($) (Total)
)
F25_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income of couple economic families with children in 2015 ($) (Total)
)
F26_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for lone-parent economic families in private households - 25% sample data
)
F29_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 100% data
)
F30_Total
(
type: esriFieldTypeInteger, alias: Median total income in 2015 for persons aged 15 years and over not in economic families ($) (Total)
)
F31_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Total)
)
F32_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 25% sample data
)
F33_Total
(
type: esriFieldTypeInteger, alias: Average total income in 2015 for persons aged 15 years and over not in economic families ($) (Total)
)
F34_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Total)
)
F35_Total
(
type: esriFieldTypeInteger, alias: Total - Economic family income decile group for the population in private households - 100% data
)
F36_Total
(
type: esriFieldTypeInteger, alias: In the bottom half of the distribution (Total)
)
F37_Total
(
type: esriFieldTypeInteger, alias: In the bottom decile (Total)
)
F38_Total
(
type: esriFieldTypeInteger, alias: In the second decile (Total)
)
F39_Total
(
type: esriFieldTypeInteger, alias: In the third decile (Total)
)
F40_Total
(
type: esriFieldTypeInteger, alias: In the fourth decile (Total)
)
F41_Total
(
type: esriFieldTypeInteger, alias: In the fifth decile (Total)
)
F42_Total
(
type: esriFieldTypeInteger, alias: In the top half of the distribution (Total)
)
F43_Total
(
type: esriFieldTypeInteger, alias: In the sixth decile (Total)
)
F44_Total
(
type: esriFieldTypeInteger, alias: In the seventh decile (Total)
)
F45_Total
(
type: esriFieldTypeInteger, alias: In the eighth decile (Total)
)
F46_Total
(
type: esriFieldTypeInteger, alias: In the ninth decile (Total)
)
F47_Total
(
type: esriFieldTypeInteger, alias: In the top decile (Total)
)
F27_Total
(
type: esriFieldTypeInteger, alias: Average total income of lone-parent economic families in 2015 ($) (Total)
)
F28_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income of lone-parent economic families in 2015 ($) (Total)
)
F29_Male
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 100% data (Male)
)
F30_Male
(
type: esriFieldTypeInteger, alias: Median total income in 2015 for persons aged 15 years and over not in economic families ($) (Male)
)
F31_Male
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Male)
)
F32_Male
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 25% sample data (Male)
)
F33_Male
(
type: esriFieldTypeInteger, alias: Average total income in 2015 for persons aged 15 years and over not in economic families ($) (Male)
)
F34_Male
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Male)
)
F35_Male
(
type: esriFieldTypeInteger, alias: Total - Economic family income decile group for the population in private households - 100% data (Male)
)
F36_Male
(
type: esriFieldTypeInteger, alias: In the bottom half of the distribution (Male)
)
F37_Male
(
type: esriFieldTypeInteger, alias: In the bottom decile (Male)
)
F38_Male
(
type: esriFieldTypeInteger, alias: In the second decile (Male)
)
F39_Male
(
type: esriFieldTypeInteger, alias: In the third decile (Male)
)
F40_Male
(
type: esriFieldTypeInteger, alias: In the fourth decile (Male)
)
F41_Male
(
type: esriFieldTypeInteger, alias: In the fifth decile (Male)
)
F42_Male
(
type: esriFieldTypeInteger, alias: In the top half of the distribution (Male)
)
F43_Male
(
type: esriFieldTypeInteger, alias: In the sixth decile (Male)
)
F44_Male
(
type: esriFieldTypeInteger, alias: In the seventh decile (Male)
)
F45_Male
(
type: esriFieldTypeInteger, alias: In the eighth decile (Male)
)
F46_Male
(
type: esriFieldTypeInteger, alias: In the ninth decile (Male)
)
F47_Male
(
type: esriFieldTypeInteger, alias: In the top decile (Male)
)
F29_Female
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 100% data (Female)
)
F30_Female
(
type: esriFieldTypeInteger, alias: Median total income in 2015 for persons aged 15 years and over not in economic families ($) (Female)
)
F31_Female
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Female)
)
F32_Female
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for persons aged 15 years and over not in economic families in private households - 25% sample data (Female)
)
F33_Female
(
type: esriFieldTypeInteger, alias: Average total income in 2015 for persons aged 15 years and over not in economic families ($) (Female)
)
F34_Female
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 for persons aged 15 years and over not in economic families ($) (Female)
)
F35_Female
(
type: esriFieldTypeInteger, alias: Total - Economic family income decile group for the population in private households - 100% data (Female)
)
F36_Female
(
type: esriFieldTypeInteger, alias: In the bottom half of the distribution (Female)
)
F37_Female
(
type: esriFieldTypeInteger, alias: In the bottom decile (Female)
)
F38_Female
(
type: esriFieldTypeInteger, alias: In the second decile (Female)
)
F39_Female
(
type: esriFieldTypeInteger, alias: In the third decile (Female)
)
F40_Female
(
type: esriFieldTypeInteger, alias: In the fourth decile (Female)
)
F41_Female
(
type: esriFieldTypeInteger, alias: In the fifth decile (Female)
)
F42_Female
(
type: esriFieldTypeInteger, alias: In the top half of the distribution (Female)
)
F43_Female
(
type: esriFieldTypeInteger, alias: In the sixth decile (Female)
)
F44_Female
(
type: esriFieldTypeInteger, alias: In the seventh decile (Female)
)
F45_Female
(
type: esriFieldTypeInteger, alias: In the eighth decile (Female)
)
F46_Female
(
type: esriFieldTypeInteger, alias: In the ninth decile (Female)
)
F47_Female
(
type: esriFieldTypeInteger, alias: In the top decile (Female)
)
F42_Female
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Female)
)
F22_Male
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 among recipients ($) (Male)
)
F18_Male
(
type: esriFieldTypeInteger, alias: Average market income in 2015 among recipients ($) (Male)
)
F73_Female
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Female)
)
F66_Total
(
type: esriFieldTypeInteger, alias: With employment income (Total)
)
F11_Female
(
type: esriFieldTypeInteger, alias: Median employment income in 2015 among recipients ($) (Female)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 100% data (Total)
)
F24_Male
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households who worked full year full time in 2015 - 25% sample data (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 100% data (Male)
)
F29_Male
(
type: esriFieldTypeInteger, alias: Employment income (%) (Male)
)
F21_Female
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 25% sample data (Female)
)
F36_Total
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Total)
)
F71_Female
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Female)
)
F38_Male
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Male)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 100% data (Female)
)
F8_Female
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 100% data (Female)
)
F23_Female
(
type: esriFieldTypeInteger, alias: Total - Employment income statistics for the population aged 15 years and over in private households - 25% sample data (Female)
)
F70_Female
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Female)
)
F17_Male
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 25% sample data (Male)
)
F47_Male
(
type: esriFieldTypeInteger, alias: $150000 and over (Male)
)
F46_Total
(
type: esriFieldTypeInteger, alias: $100000 to $149999 (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 100% data (Total)
)
F38_Female
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Female)
)
F65_Total
(
type: esriFieldTypeInteger, alias: Without employment income (Total)
)
F8_Total
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 100% data (Total)
)
F54_Female
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Female)
)
F26_Total
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 for full-year full-time workers ($) (Total)
)
F30_Total
(
type: esriFieldTypeInteger, alias: Government transfers (%) (Total)
)
F14_Total
(
type: esriFieldTypeInteger, alias: Average total income in 2015 among recipients ($) (Total)
)
F45_Male
(
type: esriFieldTypeInteger, alias: $100000 and over (Male)
)
F31_Male
(
type: esriFieldTypeInteger, alias: Total - Total income groups in 2015 for the population aged 15 years and over in private households - 100% data (Male)
)
F76_Male
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Male)
)
F62_Total
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Total)
)
F78_Male
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Male)
)
F29_Female
(
type: esriFieldTypeInteger, alias: Employment income (%) (Female)
)
F75_Total
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Total)
)
F28_Female
(
type: esriFieldTypeInteger, alias: Market income (%) (Female)
)
F57_Female
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Female)
)
F44_Total
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Total)
)
F41_Total
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Total)
)
F33_Female
(
type: esriFieldTypeInteger, alias: With total income (Female)
)
F75_Female
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Female)
)
F59_Male
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Male)
)
F13_Male
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 25% sample data (Male)
)
F58_Total
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Total)
)
F8_Male
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 100% data (Male)
)
F41_Female
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Female)
)
F9_Male
(
type: esriFieldTypeInteger, alias: Median government transfers in 2015 among recipients ($) (Male)
)
F15_Male
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 25% sample data (Male)
)
F38_Total
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Total)
)
F64_Total
(
type: esriFieldTypeDouble, alias: Total - Employment income groups in 2015 for the population aged 15 years and over in private households - 100% data
)
F47_Total
(
type: esriFieldTypeInteger, alias: $150000 and over (Total)
)
F16_Male
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 among recipients ($) (Male)
)
F51_Total
(
type: esriFieldTypeInteger, alias: Percentage with after-tax income (Total)
)
F50_Male
(
type: esriFieldTypeInteger, alias: With after-tax income (Male)
)
F18_Female
(
type: esriFieldTypeInteger, alias: Average market income in 2015 among recipients ($) (Female)
)
F40_Male
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Male)
)
F66_Female
(
type: esriFieldTypeInteger, alias: With employment income (Female)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Median total income in 2015 among recipients ($) (Male)
)
F54_Total
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Total)
)
F79_Total
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Total)
)
F19_Male
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 25% sample data (Male)
)
F15_Total
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 25% sample data (Total)
)
F15_Female
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 25% sample data (Female)
)
F76_Female
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Female)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Median market income in 2015 among recipients ($) (Male)
)
F34_Total
(
type: esriFieldTypeInteger, alias: Percentage with total income (Total)
)
F48_Male
(
type: esriFieldTypeInteger, alias: Total - After-tax income groups in 2015 for the population aged 15 years and over in private households - 100% data (Male)
)
F53_Total
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Total)
)
F49_Male
(
type: esriFieldTypeInteger, alias: Without after-tax income (Male)
)
F75_Male
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Male)
)
F27_Male
(
type: esriFieldTypeInteger, alias: Composition of total income in 2015 of the population aged 15 years and over in private households (%) - 100% data (Male)
)
F80_Male
(
type: esriFieldTypeInteger, alias: $100000 and over (Male)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Median total income in 2015 among recipients ($) (Total)
)
F36_Female
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 among recipients ($) (Female)
)
F56_Female
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Female)
)
F16_Female
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 among recipients ($) (Female)
)
F7_Female
(
type: esriFieldTypeInteger, alias: Median market income in 2015 among recipients ($) (Female)
)
F21_Total
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 25% sample data (Total)
)
F74_Male
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Male)
)
F40_Total
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Total)
)
F41_Male
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Male)
)
F25_Male
(
type: esriFieldTypeInteger, alias: Median employment income in 2015 for full-year full-time workers ($) (Male)
)
F64_Male
(
type: esriFieldTypeInteger, alias: Total - Employment income groups in 2015 for the population aged 15 years and over in private households - 100% data (Male)
)
F46_Female
(
type: esriFieldTypeInteger, alias: $100000 to $149999 (Female)
)
F72_Total
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Total)
)
F10_Male
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 100% data (Male)
)
F23_Male
(
type: esriFieldTypeInteger, alias: Total - Employment income statistics for the population aged 15 years and over in private households - 25% sample data (Male)
)
F67_Female
(
type: esriFieldTypeDouble, alias: Percentage with employment income (Female)
)
F27_Female
(
type: esriFieldTypeInteger, alias: Composition of total income in 2015 of the population aged 15 years and over in private households (%) - 100% data (Female)
)
F79_Male
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Male)
)
F49_Female
(
type: esriFieldTypeInteger, alias: Without after-tax income (Female)
)
F13_Female
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 25% sample data (Female)
)
F48_Total
(
type: esriFieldTypeInteger, alias: Total - After-tax income groups in 2015 for the population aged 15 years and over in private households - 100% data
)
F39_Male
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Male)
)
F54_Male
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Male)
)
F67_Male
(
type: esriFieldTypeDouble, alias: Percentage with employment income (Male)
)
F43_Female
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Female)
)
F69_Total
(
type: esriFieldTypeInteger, alias: $5000 to $9999 (Total)
)
F77_Male
(
type: esriFieldTypeInteger, alias: $80000 and over (Male)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 100% data (Female)
)
F63_Female
(
type: esriFieldTypeInteger, alias: $100000 and over (Female)
)
F12_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 25% sample data
)
F19_Female
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 25% sample data (Female)
)
F32_Total
(
type: esriFieldTypeInteger, alias: Without total income (Total)
)
F55_Total
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Total)
)
F57_Total
(
type: esriFieldTypeDouble, alias: $50000 to $59999 (Total)
)
F10_Total
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 100% data (Total)
)
F56_Male
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Male)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 among recipients ($) (Total)
)
F63_Male
(
type: esriFieldTypeInteger, alias: $100000 and over (Male)
)
F51_Female
(
type: esriFieldTypeInteger, alias: Percentage with after-tax income (Female)
)
F58_Male
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Male)
)
F33_Male
(
type: esriFieldTypeInteger, alias: With total income (Male)
)
F73_Total
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Total)
)
F65_Male
(
type: esriFieldTypeInteger, alias: Without employment income (Male)
)
F17_Total
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 25% sample data (Total)
)
F30_Male
(
type: esriFieldTypeInteger, alias: Government transfers (%) (Male)
)
F10_Female
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 100% data (Female)
)
F74_Female
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Female)
)
F40_Female
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Female)
)
F34_Female
(
type: esriFieldTypeInteger, alias: Percentage with total income (Female)
)
F2_Total
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 100% data (Total)
)
F20_Female
(
type: esriFieldTypeInteger, alias: Average government transfers in 2015 among recipients ($) (Female)
)
F37_Total
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Total)
)
F25_Female
(
type: esriFieldTypeInteger, alias: Median employment income in 2015 for full-year full-time workers ($) (Female)
)
F33_Total
(
type: esriFieldTypeInteger, alias: With total income (Total)
)
F22_Total
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 among recipients ($) (Total)
)
F67_Total
(
type: esriFieldTypeDouble, alias: Percentage with employment income (Total)
)
F11_Total
(
type: esriFieldTypeInteger, alias: Median employment income in 2015 among recipients ($) (Total)
)
F32_Male
(
type: esriFieldTypeInteger, alias: Without total income (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Median after-tax income in 2015 among recipients ($) (Male)
)
F17_Female
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 25% sample data (Female)
)
F61_Female
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Female)
)
F29_Total
(
type: esriFieldTypeInteger, alias: Employment income (%) (Total)
)
F55_Female
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Female)
)
F77_Female
(
type: esriFieldTypeInteger, alias: $80000 and over (Female)
)
F43_Total
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Total)
)
F78_Female
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Female)
)
F50_Female
(
type: esriFieldTypeInteger, alias: With after-tax income (Female)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 100% data (Female)
)
F7_Total
(
type: esriFieldTypeInteger, alias: Median market income in 2015 among recipients ($) (Total)
)
F39_Total
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Total)
)
F27_Total
(
type: esriFieldTypeInteger, alias: Composition of total income in 2015 of the population aged 15 years and over in private households (%) - 100% data (Total)
)
F47_Female
(
type: esriFieldTypeInteger, alias: $150000 and over (Female)
)
F24_Female
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households who worked full year full time in 2015 - 25% sample data (Female)
)
F37_Female
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Female)
)
F59_Total
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Total)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Number of market income recipients aged 15 years and over in private households - 100% data (Male)
)
F73_Male
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Male)
)
F9_Female
(
type: esriFieldTypeInteger, alias: Median government transfers in 2015 among recipients ($) (Female)
)
F31_Total
(
type: esriFieldTypeInteger, alias: Total - Total income groups in 2015 for the population aged 15 years and over in private households - 100% data
)
F74_Total
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Total)
)
F28_Total
(
type: esriFieldTypeInteger, alias: Market income (%) (Total)
)
F51_Male
(
type: esriFieldTypeInteger, alias: Percentage with after-tax income (Male)
)
F18_Total
(
type: esriFieldTypeDouble, alias: Average market income in 2015 among recipients ($) (Total)
)
F62_Female
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Female)
)
F16_Total
(
type: esriFieldTypeInteger, alias: Average after-tax income in 2015 among recipients ($) (Total)
)
F72_Female
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Female)
)
F76_Total
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Total)
)
F49_Total
(
type: esriFieldTypeInteger, alias: Without after-tax income (Total)
)
F79_Female
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Female)
)
F11_Male
(
type: esriFieldTypeInteger, alias: Median employment income in 2015 among recipients ($) (Male)
)
F64_Female
(
type: esriFieldTypeInteger, alias: Total - Employment income groups in 2015 for the population aged 15 years and over in private households - 100% data (Female)
)
F61_Total
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Total)
)
F21_Male
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households - 25% sample data (Male)
)
F71_Total
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Total)
)
F44_Female
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Female)
)
F12_Female
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 25% sample data (Female)
)
F78_Total
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Total)
)
F56_Total
(
type: esriFieldTypeDouble, alias: $40000 to $49999 (Total)
)
F26_Male
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 for full-year full-time workers ($) (Male)
)
F14_Male
(
type: esriFieldTypeInteger, alias: Average total income in 2015 among recipients ($) (Male)
)
F48_Female
(
type: esriFieldTypeInteger, alias: Total - After-tax income groups in 2015 for the population aged 15 years and over in private households - 100% data (Female)
)
F80_Total
(
type: esriFieldTypeInteger, alias: $100000 and over (Total)
)
F32_Female
(
type: esriFieldTypeInteger, alias: Without total income (Female)
)
F26_Female
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 for full-year full-time workers ($) (Female)
)
F45_Total
(
type: esriFieldTypeInteger, alias: $100000 and over (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 100% data (Male)
)
F43_Male
(
type: esriFieldTypeInteger, alias: $80000 to $89999 (Male)
)
F12_Male
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 25% sample data (Male)
)
F19_Total
(
type: esriFieldTypeInteger, alias: Number of government transfers recipients aged 15 years and over in private households - 25% sample data (Total)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 100% data (Male)
)
F30_Female
(
type: esriFieldTypeInteger, alias: Government transfers (%) (Female)
)
F22_Female
(
type: esriFieldTypeInteger, alias: Average employment income in 2015 among recipients ($) (Female)
)
F60_Male
(
type: esriFieldTypeInteger, alias: $80000 and over (Male)
)
F65_Female
(
type: esriFieldTypeInteger, alias: Without employment income (Female)
)
F77_Total
(
type: esriFieldTypeInteger, alias: $80000 and over (Total)
)
F50_Total
(
type: esriFieldTypeInteger, alias: With after-tax income (Total)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Income statistics in 2015 for the population aged 15 years and over in private households - 100% data
)
F62_Male
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Male)
)
F42_Total
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Total)
)
F42_Male
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Male)
)
F63_Total
(
type: esriFieldTypeInteger, alias: $100000 and over (Total)
)
F57_Male
(
type: esriFieldTypeInteger, alias: $50000 to $59999 (Male)
)
F66_Male
(
type: esriFieldTypeInteger, alias: With employment income (Male)
)
F69_Male
(
type: esriFieldTypeInteger, alias: $5000 to $9999 (Male)
)
F28_Male
(
type: esriFieldTypeInteger, alias: Market income (%) (Male)
)
F80_Female
(
type: esriFieldTypeInteger, alias: $100000 and over (Female)
)
F45_Female
(
type: esriFieldTypeInteger, alias: $100000 and over (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Median total income in 2015 among recipients ($) (Female)
)
F44_Male
(
type: esriFieldTypeInteger, alias: $90000 to $99999 (Male)
)
F20_Male
(
type: esriFieldTypeInteger, alias: Average government transfers in 2015 among recipients ($) (Male)
)
F72_Male
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Male)
)
F60_Total
(
type: esriFieldTypeInteger, alias: $80000 and over (Total)
)
F60_Female
(
type: esriFieldTypeInteger, alias: $80000 and over (Female)
)
F53_Female
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Female)
)
F13_Total
(
type: esriFieldTypeInteger, alias: Number of total income recipients aged 15 years and over in private households - 25% sample data (Total)
)
F37_Male
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Male)
)
F24_Total
(
type: esriFieldTypeInteger, alias: Number of employment income recipients aged 15 years and over in private households who worked full year full time in 2015 - 25% sample data (Total)
)
F31_Female
(
type: esriFieldTypeInteger, alias: Total - Total income groups in 2015 for the population aged 15 years and over in private households - 100% data (Female)
)
F20_Total
(
type: esriFieldTypeDouble, alias: Average government transfers in 2015 among recipients ($) (Total)
)
F58_Female
(
type: esriFieldTypeInteger, alias: $60000 to $69999 (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Number of after-tax income recipients aged 15 years and over in private households - 100% data (Female)
)
F71_Male
(
type: esriFieldTypeInteger, alias: $20000 to $29999 (Male)
)
F69_Female
(
type: esriFieldTypeInteger, alias: $5000 to $9999 (Female)
)
F70_Male
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Male)
)
F55_Male
(
type: esriFieldTypeInteger, alias: $30000 to $39999 (Male)
)
F70_Total
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Total)
)
F14_Female
(
type: esriFieldTypeInteger, alias: Average total income in 2015 among recipients ($) (Female)
)
F39_Female
(
type: esriFieldTypeInteger, alias: $40000 to $49999 (Female)
)
F59_Female
(
type: esriFieldTypeInteger, alias: $70000 to $79999 (Female)
)
F36_Male
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Male)
)
F46_Male
(
type: esriFieldTypeInteger, alias: $100000 to $149999 (Male)
)
F23_Total
(
type: esriFieldTypeInteger, alias: Total - Employment income statistics for the population aged 15 years and over in private households - 25% sample data
)
F53_Male
(
type: esriFieldTypeInteger, alias: $10000 to $19999 (Male)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total Labour Force population aged 15 years and over by Industry - North American Industry Classification System (NAICS) 2012 - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Industry - NAICS2012 - not applicable (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: All industry categories (Total)
)
F22_Total
(
type: esriFieldTypeInteger, alias: 81 Other services (except public administration) (Total)
)
F23_Total
(
type: esriFieldTypeInteger, alias: 91 Public administration (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total Labour Force population aged 15 years and over by Industry - North American Industry Classification System (NAICS) 2012 - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Industry - NAICS2012 - not applicable (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: All industry categories (Male)
)
F22_Male
(
type: esriFieldTypeInteger, alias: 81 Other services (except public administration) (Male)
)
F23_Male
(
type: esriFieldTypeInteger, alias: 91 Public administration (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total Labour Force population aged 15 years and over by Industry - North American Industry Classification System (NAICS) 2012 - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Industry - NAICS2012 - not applicable (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: All industry categories (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Knowledge of official languages for the total population excluding institutional residents - 100% data
)
F2_Total
(
type: esriFieldTypeInteger, alias: English only (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: French only (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: English and French (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Neither English nor French (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Knowledge of official languages for the total population excluding institutional residents - 100% data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: English only (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: French only (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: English and French (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Neither English nor French (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Knowledge of official languages for the total population excluding institutional residents - 100% data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: English only (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: French only (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: English and French (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Neither English nor French (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Language spoken most often at home for the total population excluding institutional residents - 100% data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Single responses (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Official languages (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: English (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: French (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Non-official languages (Total)
)
F90_Total
(
type: esriFieldTypeInteger, alias: Non-Aboriginal languages (Total)
)
F139_Total
(
type: esriFieldTypeInteger, alias: Indo-European languages (Total)
)
F142_Total
(
type: esriFieldTypeInteger, alias: Balto-Slavic languages (Total)
)
F146_Total
(
type: esriFieldTypeInteger, alias: Slavic languages (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Language spoken most often at home for the total population excluding institutional residents - 100% data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Single responses (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Official languages (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: English (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: French (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Non-official languages (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Aboriginal languages (Male)
)
F8_Male
(
type: esriFieldTypeInteger, alias: Algonquian languages (Male)
)
F266_Male
(
type: esriFieldTypeInteger, alias: English and French (Male)
)
F267_Male
(
type: esriFieldTypeInteger, alias: English and non-official language (Male)
)
F268_Male
(
type: esriFieldTypeInteger, alias: French and non-official language (Male)
)
F269_Male
(
type: esriFieldTypeInteger, alias: English French and non-official language (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Language spoken most often at home for the total population excluding institutional residents - 100% data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Single responses (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Official languages (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: English (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: French (Female)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Non-official languages (Female)
)
F7_Female
(
type: esriFieldTypeInteger, alias: Aboriginal languages (Female)
)
F8_Female
(
type: esriFieldTypeInteger, alias: Algonquian languages (Female)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Language used most often at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% sample data (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Language used most often at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% sample data (Female)
)
F115_Female
(
type: esriFieldTypeInteger, alias: Austronesian languages (Female)
)
F248_Total
(
type: esriFieldTypeInteger, alias: Tibeto-Burman languages n.i.e. (Total)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Language used most often at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% sample data
)
F199_Male
(
type: esriFieldTypeInteger, alias: Italian (Male)
)
F19_Male
(
type: esriFieldTypeInteger, alias: Same as province or territory of residence (Male - 25 to 64 years private households)
)
F15_Total
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 25 to 64 years in private households - 25% sample data
)
F18_Male
(
type: esriFieldTypeInteger, alias: Location of study inside Canada (Male - 25 to 64 years private households)
)
F17_Total
(
type: esriFieldTypeInteger, alias: Postsecondary certificate diploma or degree (Total - 25 to 64 years private households)
)
F15_Female
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 25 to 64 years in private households - 25% sample data (Female)
)
F10_Female
(
type: esriFieldTypeInteger, alias: India (Female - 15 years and older private households)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Location of study outside Canada (Male - 15 years and older private households)
)
F11_Female
(
type: esriFieldTypeInteger, alias: United Kingdom (Female - 15 years and older private households)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Different than province or territory of residence (Total - 15 years and older private households)
)
F24_Male
(
type: esriFieldTypeInteger, alias: India (Male - 25 to 64 years private households)
)
F22_Male
(
type: esriFieldTypeInteger, alias: United States (Male - 25 to 64 years private households)
)
F26_Male
(
type: esriFieldTypeInteger, alias: China (Male - 25 to 64 years private households)
)
F2_Total
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Total - 15 years and older private households)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Location of study inside Canada (Male - 15 years and older private households)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 15 years and over in private households - 25% sample data (Female)
)
F21_Female
(
type: esriFieldTypeInteger, alias: Location of study outside Canada (Female - 25 to 64 years private households)
)
F26_Female
(
type: esriFieldTypeInteger, alias: China (Female - 25 to 64 years private households)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Postsecondary certificate diploma or degree (Total - 15 years and older private households)
)
F17_Female
(
type: esriFieldTypeInteger, alias: Postsecondary certificate diploma or degree (Female - 25 to 64 years private households)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 15 years and over in private households - 25% sample data (Male)
)
F19_Total
(
type: esriFieldTypeInteger, alias: Same as province or territory of residence (Total - 25 to 64 years private households)
)
F2_Male
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Male - 15 years and older private households)
)
F22_Total
(
type: esriFieldTypeInteger, alias: United States (Total - 25 to 64 years private households)
)
F9_Female
(
type: esriFieldTypeInteger, alias: Philippines (Female - 15 years and older private households)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Location of study inside Canada (Female - 15 years and older private households)
)
F11_Total
(
type: esriFieldTypeInteger, alias: United Kingdom (Total - 15 years and older private households)
)
F16_Female
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Female - 25 to 64 years private households)
)
F7_Female
(
type: esriFieldTypeInteger, alias: Location of study outside Canada (Female - 15 years and older private households)
)
F21_Total
(
type: esriFieldTypeInteger, alias: Location of study outside Canada (Total - 25 to 64 years private households)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 15 years and over in private households - 25% sample data
)
F4_Total
(
type: esriFieldTypeInteger, alias: Location of study inside Canada (Total - 15 years and older private households)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Same as province or territory of residence (Male - 15 years and older private households)
)
F12_Male
(
type: esriFieldTypeInteger, alias: China (Male - 15 years and older private households)
)
F23_Female
(
type: esriFieldTypeInteger, alias: Philippines (Female - 25 to 64 years private households)
)
F12_Female
(
type: esriFieldTypeInteger, alias: China (Female - 15 years and older private households)
)
F19_Female
(
type: esriFieldTypeInteger, alias: Same as province or territory of residence (Female - 25 to 64 years private households)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Different than province or territory of residence (Female - 15 years and older private households)
)
F25_Male
(
type: esriFieldTypeInteger, alias: United Kingdom (Male - 25 to 64 years private households)
)
F28_Male
(
type: esriFieldTypeInteger, alias: Other (Male - 25 to 64 years private households)
)
F8_Total
(
type: esriFieldTypeInteger, alias: United States (Total - 15 years and older private households)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Same as province or territory of residence (Female - 15 years and older private households)
)
F26_Total
(
type: esriFieldTypeInteger, alias: China (Total - 25 to 64 years private households)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Postsecondary certificate diploma or degree (Female - 15 years and older private households)
)
F14_Total
(
type: esriFieldTypeInteger, alias: Other (Total - 15 years and older private households)
)
F20_Male
(
type: esriFieldTypeInteger, alias: Different than province or territory of residence (Male - 25 to 64 years private households)
)
F8_Female
(
type: esriFieldTypeInteger, alias: United States (Female - 15 years and older private households)
)
F10_Male
(
type: esriFieldTypeInteger, alias: India (Male - 15 years and older private households)
)
F23_Male
(
type: esriFieldTypeInteger, alias: Philippines (Male - 25 to 64 years private households)
)
F7_Total
(
type: esriFieldTypeInteger, alias: Location of study outside Canada (Total - 15 years and older private households)
)
F13_Total
(
type: esriFieldTypeInteger, alias: France (Total - 15 years and older private households)
)
F27_Total
(
type: esriFieldTypeInteger, alias: France (Total - 25 to 64 years private households)
)
F17_Male
(
type: esriFieldTypeInteger, alias: Postsecondary certificate diploma or degree (Male - 25 to 64 years private households)
)
F27_Female
(
type: esriFieldTypeInteger, alias: France (Female - 25 to 64 years private households)
)
F2_Female
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Female - 15 years and older private households)
)
F24_Female
(
type: esriFieldTypeInteger, alias: India (Female - 25 to 64 years private households)
)
F11_Male
(
type: esriFieldTypeInteger, alias: United Kingdom (Male - 15 years and older private households)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Different than province or territory of residence (Male - 15 years and older private households)
)
F9_Total
(
type: esriFieldTypeInteger, alias: Philippines (Total - 15 years and older private households)
)
F25_Total
(
type: esriFieldTypeInteger, alias: United Kingdom (Total - 25 to 64 years private households)
)
F15_Male
(
type: esriFieldTypeInteger, alias: Total - Location of study compared with province or territory of residence with countries outside Canada for the population aged 25 to 64 years in private households - 25% sample data (Male)
)
F24_Total
(
type: esriFieldTypeInteger, alias: India (Total - 25 to 64 years private households)
)
F14_Male
(
type: esriFieldTypeInteger, alias: Other (Male - 15 years and older private households)
)
F22_Female
(
type: esriFieldTypeInteger, alias: United States (Female - 25 to 64 years private households)
)
F20_Total
(
type: esriFieldTypeInteger, alias: Different than province or territory of residence (Total - 25 to 64 years private households)
)
F8_Male
(
type: esriFieldTypeInteger, alias: United States (Male - 15 years and older private households)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Low-income status in 2015 for the population in private households to whom low-income concepts are applicable - 100% data
)
F2_Total
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Total - low income concepts applicable)
)
F3_Total
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Total - low income concepts applicable)
)
F4_Total
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Total - low income concepts applicable)
)
F5_Total
(
type: esriFieldTypeInteger, alias: 65 years and over (Total - low income concepts applicable)
)
F6_Total
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income measure after tax (LIM-AT) (Total)
)
F7_Total
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Total - low income measure after-tax)
)
F8_Total
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Total - low income measure after-tax)
)
F9_Total
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Total - low income measure after-tax)
)
F10_Total
(
type: esriFieldTypeInteger, alias: 65 years and over (Total - low income measure after-tax)
)
F11_Total
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income measure after tax (LIM-AT) (%) (Total)
)
F12_Total
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Total - low income measure after-tax)
)
F13_Total
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Total - low income measure after-tax)
)
F14_Total
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Total - low income measure after-tax)
)
F15_Total
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Total - low income measure after-tax)
)
F16_Total
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income cut-offs after tax (LICO-AT) (Total)
)
F17_Total
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Total - low income cut-offs after-tax)
)
F18_Total
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Total - low income cut-offs after-tax)
)
F19_Total
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Total - low income cut-offs after-tax)
)
F20_Total
(
type: esriFieldTypeInteger, alias: 65 years and over (Total - low income cut-offs after-tax)
)
F21_Total
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income cut-offs after tax (LICO-AT) (%) (Total)
)
F22_Total
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Total - low income cut-offs after tax)
)
F23_Total
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Total - low income cut-offs after tax)
)
F24_Total
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Total - low income cut-offs after tax)
)
F25_Total
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Total - low income cut-offs after tax)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Low-income status in 2015 for the population in private households to whom low-income concepts are applicable - 100% data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Male - low income concepts applicable)
)
F3_Male
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Male - low income concepts applicable)
)
F4_Male
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Male - low income concepts applicable)
)
F5_Male
(
type: esriFieldTypeInteger, alias: 65 years and over (Male - low income concepts applicable)
)
F6_Male
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income measure after tax (LIM-AT) (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Male - low income measure after-tax)
)
F8_Male
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Male - low income measure after-tax)
)
F9_Male
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Male - low income measure after-tax)
)
F10_Male
(
type: esriFieldTypeInteger, alias: 65 years and over (Male - low income measure after-tax)
)
F11_Male
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income measure after tax (LIM-AT) (%) (Male)
)
F12_Male
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Male - low income measure after-tax)
)
F13_Male
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Male - low income measure after-tax)
)
F14_Male
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Male - low income measure after-tax)
)
F15_Male
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Male - low income measure after-tax)
)
F16_Male
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income cut-offs after tax (LICO-AT) (Male)
)
F17_Male
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Male - low income cut-offs after-tax)
)
F18_Male
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Male - low income cut-offs after-tax)
)
F19_Male
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Male - low income cut-offs after-tax)
)
F20_Male
(
type: esriFieldTypeInteger, alias: 65 years and over (Male - low income cut-offs after-tax)
)
F21_Male
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income cut-offs after tax (LICO-AT) (%) (Male)
)
F22_Male
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Male - low income cut-offs after tax)
)
F23_Male
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Male - low income cut-offs after tax)
)
F24_Male
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Male - low income cut-offs after tax)
)
F25_Male
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Male - low income cut-offs after tax)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Low-income status in 2015 for the population in private households to whom low-income concepts are applicable - 100% data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Female - low income concepts applicable)
)
F3_Female
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Female - low income concepts applicable)
)
F4_Female
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Female - low income concepts applicable)
)
F5_Female
(
type: esriFieldTypeInteger, alias: 65 years and over (Female - low income concepts applicable)
)
F6_Female
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income measure after tax (LIM-AT) (Female)
)
F7_Female
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Female - low income measure after-tax)
)
F8_Female
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Female - low income measure after-tax)
)
F9_Female
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Female - low income measure after-tax)
)
F10_Female
(
type: esriFieldTypeInteger, alias: 65 years and over (Female - low income measure after-tax)
)
F11_Female
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income measure after tax (LIM-AT) (%) (Female)
)
F12_Female
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Female - low income measure after-tax)
)
F13_Female
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Female - low income measure after-tax)
)
F14_Female
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Female - low income measure after-tax)
)
F15_Female
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Female - low income measure after-tax)
)
F16_Female
(
type: esriFieldTypeInteger, alias: In low income based on the Low-income cut-offs after tax (LICO-AT) (Female)
)
F17_Female
(
type: esriFieldTypeInteger, alias: 0 to 17 years (Female - low income cut-offs after-tax)
)
F18_Female
(
type: esriFieldTypeInteger, alias: 0 to 5 years (Female - low income cut-offs after-tax)
)
F19_Female
(
type: esriFieldTypeInteger, alias: 18 to 64 years (Female - low income cut-offs after-tax)
)
F20_Female
(
type: esriFieldTypeInteger, alias: 65 years and over (Female - low income cut-offs after-tax)
)
F21_Female
(
type: esriFieldTypeDouble, alias: Prevalence of low income based on the Low-income cut-offs after tax (LICO-AT) (%) (Female)
)
F22_Female
(
type: esriFieldTypeDouble, alias: 0 to 17 years (%) (Female - low income cut-offs after tax)
)
F23_Female
(
type: esriFieldTypeDouble, alias: 0 to 5 years (%) (Female - low income cut-offs after tax)
)
F24_Female
(
type: esriFieldTypeDouble, alias: 18 to 64 years (%) (Female - low income cut-offs after tax)
)
F25_Female
(
type: esriFieldTypeDouble, alias: 65 years and over (%) (Female - low income cut-offs after tax)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Main mode of commuting for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Car truck van - as a driver (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Car truck van - as a passenger (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: Public transit (Total)
)
F7_Total
(
type: esriFieldTypeInteger, alias: Other method (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Main mode of commuting for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Car truck van - as a driver (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Car truck van - as a passenger (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Public transit (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Other method (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Main mode of commuting for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Car truck van - as a driver (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Car truck van - as a passenger (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Public transit (Female)
)
F92_Total
(
type: esriFieldTypeInteger, alias: 54. History (Total - 25 to 64)
)
F107_Total
(
type: esriFieldTypeInteger, alias: 26. Biological and biomedical sciences (Total - 25 to 64)
)
F98_Male
(
type: esriFieldTypeInteger, alias: 22. Legal professions and studies (Male - 25 to 64)
)
F16_Female
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 15 years and over in private households - 25% sample data (Female)
)
F124_Female
(
type: esriFieldTypeInteger, alias: 48. Precision production (Female - 25 to 64)
)
F106_Male
(
type: esriFieldTypeInteger, alias: Physical and life sciences and technologies (Male - 25 to 64)
)
F40_Total
(
type: esriFieldTypeInteger, alias: Business management and public administration (Total - 15 years and older)
)
F134_Female
(
type: esriFieldTypeInteger, alias: 28. Military science leadership and operational art (Female - 25 to 64)
)
F82_Female
(
type: esriFieldTypeInteger, alias: Visual and performing arts and communications technologies (Female - 25 to 64)
)
F25_Male
(
type: esriFieldTypeInteger, alias: 23. English language and literature/letters (Male - 15 years and older)
)
F64_Male
(
type: esriFieldTypeInteger, alias: 01. Agriculture agriculture operations and related sciences (Male - 15 years and older)
)
F46_Female
(
type: esriFieldTypeInteger, alias: 30.01 Biological and physical sciences (Female - 15 years and older)
)
F125_Male
(
type: esriFieldTypeInteger, alias: Agriculture natural resources and conservation (Male - 25 to 64)
)
F74_Total
(
type: esriFieldTypeInteger, alias: 43. Security and protective services (Total - 15 years and older)
)
F86_Male
(
type: esriFieldTypeInteger, alias: 16. Aboriginal and foreign languages literatures and linguistics (Male - 25 to 64)
)
F122_Male
(
type: esriFieldTypeInteger, alias: 46. Construction trades (Male - 25 to 64)
)
F135_Male
(
type: esriFieldTypeInteger, alias: 29. Military technologies and applied sciences (Male - 25 to 64)
)
F118_Total
(
type: esriFieldTypeInteger, alias: 04. Architecture and related services (Total - 25 to 64)
)
F52_Male
(
type: esriFieldTypeInteger, alias: 25. Library science (Male - 15 years and older)
)
F71_Total
(
type: esriFieldTypeInteger, alias: 12. Personal and culinary services (Total - 15 years and older)
)
F44_Female
(
type: esriFieldTypeInteger, alias: Physical and life sciences and technologies (Female - 15 years and older)
)
F12_Female
(
type: esriFieldTypeInteger, alias: University certificate or diploma above bachelor level (Female)
)
F56_Total
(
type: esriFieldTypeInteger, alias: 04. Architecture and related services (Total - 15 years and older)
)
F26_Male
(
type: esriFieldTypeInteger, alias: 24. Liberal arts and sciences general studies and humanities (Male - 15 years and older)
)
F55_Total
(
type: esriFieldTypeInteger, alias: Architecture engineering and related technologies (Total - 15 years and older)
)
F26_Female
(
type: esriFieldTypeInteger, alias: 24. Liberal arts and sciences general studies and humanities (Female - 15 years and older)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 25 to 64 years in private households - 25% sample data (Male)
)
F66_Male
(
type: esriFieldTypeInteger, alias: Health and related fields (Male - 15 years and older)
)
F29_Male
(
type: esriFieldTypeInteger, alias: 39. Theology and religious vocations (Male - 15 years and older)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Total)
)
F66_Female
(
type: esriFieldTypeInteger, alias: Health and related fields (Female - 15 years and older)
)
F36_Total
(
type: esriFieldTypeInteger, alias: 22. Legal professions and studies (Total - 15 years and older)
)
F38_Male
(
type: esriFieldTypeInteger, alias: 42. Psychology (Male - 15 years and older)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Female)
)
F107_Male
(
type: esriFieldTypeInteger, alias: 26. Biological and biomedical sciences (Male - 25 to 64)
)
F70_Female
(
type: esriFieldTypeInteger, alias: Personal protective and transportation services (Female - 15 years and older)
)
F10_Female
(
type: esriFieldTypeInteger, alias: University certificate diploma or degree at bachelor level or above (Female)
)
F47_Male
(
type: esriFieldTypeInteger, alias: 30C Other interdisciplinary physical and life sciences (Male - 15 years and older)
)
F134_Total
(
type: esriFieldTypeInteger, alias: 28. Military science leadership and operational art (Total - 25 to 64)
)
F127_Total
(
type: esriFieldTypeInteger, alias: 03. Natural resources and conservation (Total - 25 to 64)
)
F118_Female
(
type: esriFieldTypeInteger, alias: 04. Architecture and related services (Female - 25 to 64)
)
F45_Male
(
type: esriFieldTypeInteger, alias: 26. Biological and biomedical sciences (Male - 15 years and older)
)
F31_Male
(
type: esriFieldTypeInteger, alias: 55. French language and literature/letters (Male - 15 years and older)
)
F62_Total
(
type: esriFieldTypeInteger, alias: 48. Precision production (Total - 15 years and older)
)
F28_Female
(
type: esriFieldTypeInteger, alias: 38. Philosophy and religious studies (Female - 15 years and older)
)
F44_Total
(
type: esriFieldTypeInteger, alias: Physical and life sciences and technologies (Total - 15 years and older)
)
F123_Male
(
type: esriFieldTypeInteger, alias: 47. Mechanic and repair technologies/technicians (Male - 25 to 64)
)
F13_Male
(
type: esriFieldTypeInteger, alias: Degree in medicine dentistry veterinary medicine or optometry (Male)
)
F2_Total
(
type: esriFieldTypeInteger, alias: No certificate diploma or degree (Total)
)
F8_Male
(
type: esriFieldTypeInteger, alias: College CEGEP or other non-university certificate or diploma (Male)
)
F9_Male
(
type: esriFieldTypeInteger, alias: University certificate or diploma below bachelor level (Male)
)
F50_Male
(
type: esriFieldTypeInteger, alias: Mathematics computer and information sciences (Male - 15 years and older)
)
F16_Male
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 15 years and over in private households - 25% sample data (Male)
)
F51_Total
(
type: esriFieldTypeInteger, alias: 11. Computer and information sciences and support services (Total - 15 years and older)
)
F40_Male
(
type: esriFieldTypeInteger, alias: Business management and public administration (Male - 15 years and older)
)
F109_Female
(
type: esriFieldTypeInteger, alias: 30C Other interdisciplinary physical and life sciences (Female - 25 to 64)
)
F48_Male
(
type: esriFieldTypeInteger, alias: 40. Physical sciences (Male - 15 years and older)
)
F49_Male
(
type: esriFieldTypeInteger, alias: 41. Science technologies/technicians (Male - 15 years and older)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Apprenticeship or trades certificate or diploma (Female)
)
F137_Male
(
type: esriFieldTypeInteger, alias: 49. Transportation and materials moving (Male - 25 to 64)
)
F105_Total
(
type: esriFieldTypeInteger, alias: 52. Business management marketing and related support services (Total - 25 to 64)
)
F21_Total
(
type: esriFieldTypeInteger, alias: 10. Communications technologies/technicians and support services (Total - 15 years and older)
)
F97_Male
(
type: esriFieldTypeInteger, alias: 19. Family and consumer sciences/human sciences (Male - 25 to 64)
)
F71_Female
(
type: esriFieldTypeInteger, alias: 12. Personal and culinary services (Female - 15 years and older)
)
F72_Total
(
type: esriFieldTypeInteger, alias: 28. Military science leadership and operational art (Total - 15 years and older)
)
F22_Total
(
type: esriFieldTypeInteger, alias: 50. Visual and performing arts (Total - 15 years and older)
)
F10_Male
(
type: esriFieldTypeInteger, alias: University certificate diploma or degree at bachelor level or above (Male)
)
F92_Female
(
type: esriFieldTypeInteger, alias: 54. History (Female - 25 to 64)
)
F78_Male
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 25 to 64 years in private households - 25% sample data (Male)
)
F94_Male
(
type: esriFieldTypeInteger, alias: Social and behavioural sciences and law (Male - 25 to 64)
)
F48_Total
(
type: esriFieldTypeInteger, alias: 40. Physical sciences (Total - 15 years and older)
)
F25_Female
(
type: esriFieldTypeInteger, alias: 23. English language and literature/letters (Female - 15 years and older)
)
F54_Male
(
type: esriFieldTypeInteger, alias: 30D Interdisciplinary mathematics computer and information sciences (Male - 15 years and older)
)
F43_Female
(
type: esriFieldTypeInteger, alias: 52. Business management marketing and related support services (Female - 15 years and older)
)
F121_Female
(
type: esriFieldTypeInteger, alias: 30.12 Historic preservation and conservation (Female - 25 to 64)
)
F63_Female
(
type: esriFieldTypeInteger, alias: Agriculture natural resources and conservation (Female - 15 years and older)
)
F113_Female
(
type: esriFieldTypeInteger, alias: 11. Computer and information sciences and support services (Female - 25 to 64)
)
F123_Female
(
type: esriFieldTypeInteger, alias: 47. Mechanic and repair technologies/technicians (Female - 25 to 64)
)
F96_Female
(
type: esriFieldTypeInteger, alias: 09. Communication journalism and related programs (Female - 25 to 64)
)
F32_Female
(
type: esriFieldTypeInteger, alias: Social and behavioural sciences and law (Female - 15 years and older)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Apprenticeship or trades certificate or diploma (Total)
)
F58_Male
(
type: esriFieldTypeInteger, alias: 15. Engineering technologies and engineering-related fields (Male - 15 years and older)
)
F73_Total
(
type: esriFieldTypeInteger, alias: 29. Military technologies and applied sciences (Total - 15 years and older)
)
F30_Male
(
type: esriFieldTypeInteger, alias: 54. History (Male - 15 years and older)
)
F99_Total
(
type: esriFieldTypeInteger, alias: 30B Interdisciplinary social and behavioural sciences (Total - 25 to 64)
)
F116_Male
(
type: esriFieldTypeInteger, alias: 30D Interdisciplinary mathematics computer and information sciences (Male - 25 to 64)
)
F74_Female
(
type: esriFieldTypeInteger, alias: 43. Security and protective services (Female - 15 years and older)
)
F40_Female
(
type: esriFieldTypeInteger, alias: Business management and public administration (Female - 15 years and older)
)
F34_Female
(
type: esriFieldTypeInteger, alias: 09. Communication journalism and related programs (Female - 15 years and older)
)
F121_Total
(
type: esriFieldTypeInteger, alias: 30.12 Historic preservation and conservation (Total - 25 to 64)
)
F128_Male
(
type: esriFieldTypeInteger, alias: Health and related fields (Male - 25 to 64)
)
F123_Total
(
type: esriFieldTypeInteger, alias: 47. Mechanic and repair technologies/technicians (Total - 25 to 64)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Apprenticeship or trades certificate or diploma (Male)
)
F133_Female
(
type: esriFieldTypeInteger, alias: 12. Personal and culinary services (Female - 25 to 64)
)
F134_Male
(
type: esriFieldTypeInteger, alias: 28. Military science leadership and operational art (Male - 25 to 64)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 25 to 64 years in private households - 25% sample data (Female)
)
F27_Total
(
type: esriFieldTypeInteger, alias: 30A Interdisciplinary humanities (Total - 15 years and older)
)
F47_Female
(
type: esriFieldTypeInteger, alias: 30C Other interdisciplinary physical and life sciences (Female - 15 years and older)
)
F88_Total
(
type: esriFieldTypeInteger, alias: 24. Liberal arts and sciences general studies and humanities (Total - 25 to 64)
)
F24_Female
(
type: esriFieldTypeInteger, alias: 16. Aboriginal and foreign languages literatures and linguistics (Female - 15 years and older)
)
F39_Female
(
type: esriFieldTypeInteger, alias: 45. Social sciences (Female - 15 years and older)
)
F108_Total
(
type: esriFieldTypeInteger, alias: 30.01 Biological and physical sciences (Total - 25 to 64)
)
F116_Total
(
type: esriFieldTypeInteger, alias: 30D Interdisciplinary mathematics computer and information sciences (Total - 25 to 64)
)
F62_Female
(
type: esriFieldTypeInteger, alias: 48. Precision production (Female - 15 years and older)
)
F16_Total
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 15 years and over in private households - 25% sample data
)
F94_Total
(
type: esriFieldTypeInteger, alias: Social and behavioural sciences and law (Total - 25 to 64)
)
F49_Female
(
type: esriFieldTypeInteger, alias: 41. Science technologies/technicians (Female - 15 years and older)
)
F117_Female
(
type: esriFieldTypeInteger, alias: Architecture engineering and related technologies (Female - 25 to 64)
)
F122_Female
(
type: esriFieldTypeInteger, alias: 46. Construction trades (Female - 25 to 64)
)
F121_Male
(
type: esriFieldTypeInteger, alias: 30.12 Historic preservation and conservation (Male - 25 to 64)
)
F103_Male
(
type: esriFieldTypeInteger, alias: 30.16 Accounting and computer science (Male - 25 to 64)
)
F108_Male
(
type: esriFieldTypeInteger, alias: 30.01 Biological and physical sciences (Male - 25 to 64)
)
F65_Female
(
type: esriFieldTypeInteger, alias: 03. Natural resources and conservation (Female - 15 years and older)
)
F77_Total
(
type: esriFieldTypeInteger, alias: 30.99 Multidisciplinary/interdisciplinary studies other (Total - 15 years and older)
)
F50_Total
(
type: esriFieldTypeInteger, alias: Mathematics computer and information sciences (Total - 15 years and older)
)
F42_Total
(
type: esriFieldTypeInteger, alias: 44. Public administration and social service professions (Total - 15 years and older)
)
F42_Male
(
type: esriFieldTypeInteger, alias: 44. Public administration and social service professions (Male - 15 years and older)
)
F96_Male
(
type: esriFieldTypeInteger, alias: 09. Communication journalism and related programs (Male - 25 to 64)
)
F57_Male
(
type: esriFieldTypeInteger, alias: 14. Engineering (Male - 15 years and older)
)
F69_Male
(
type: esriFieldTypeInteger, alias: 60. Dental medical and veterinary residency programs (Male - 15 years and older)
)
F45_Female
(
type: esriFieldTypeInteger, alias: 26. Biological and biomedical sciences (Female - 15 years and older)
)
F64_Female
(
type: esriFieldTypeInteger, alias: 01. Agriculture agriculture operations and related sciences (Female - 15 years and older)
)
F59_Total
(
type: esriFieldTypeInteger, alias: 30.12 Historic preservation and conservation (Total - 15 years and older)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Trades certificate or diploma other than Certificate of Apprenticeship or Certificate of Qualification (Male)
)
F78_Female
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 25 to 64 years in private households - 25% sample data (Female)
)
F104_Total
(
type: esriFieldTypeInteger, alias: 44. Public administration and social service professions (Total - 25 to 64)
)
F122_Total
(
type: esriFieldTypeInteger, alias: 46. Construction trades (Total - 25 to 64)
)
F125_Female
(
type: esriFieldTypeInteger, alias: Agriculture natural resources and conservation (Female - 25 to 64)
)
F54_Female
(
type: esriFieldTypeInteger, alias: 30D Interdisciplinary mathematics computer and information sciences (Female - 15 years and older)
)
F17_Male
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Male - 15 years and older)
)
F63_Total
(
type: esriFieldTypeInteger, alias: Agriculture natural resources and conservation (Total - 15 years and older)
)
F61_Total
(
type: esriFieldTypeInteger, alias: 47. Mechanic and repair technologies/technicians (Total - 15 years and older)
)
F87_Total
(
type: esriFieldTypeInteger, alias: 23. English language and literature/letters (Total - 25 to 64)
)
F78_Total
(
type: esriFieldTypeInteger, alias: Total - Major field of study - Classification of Instructional Programs (CIP) 2016 for the population aged 25 to 64 years in private households - 25% sample data
)
F90_Male
(
type: esriFieldTypeInteger, alias: 38. Philosophy and religious studies (Male - 25 to 64)
)
F45_Total
(
type: esriFieldTypeInteger, alias: 26. Biological and biomedical sciences (Total - 15 years and older)
)
F43_Male
(
type: esriFieldTypeInteger, alias: 52. Business management marketing and related support services (Male - 15 years and older)
)
F115_Total
(
type: esriFieldTypeInteger, alias: 27. Mathematics and statistics (Total - 25 to 64)
)
F12_Male
(
type: esriFieldTypeInteger, alias: University certificate or diploma above bachelor level (Male)
)
F19_Total
(
type: esriFieldTypeInteger, alias: 13. Education (Total - 15 years and older)
)
F2_Male
(
type: esriFieldTypeInteger, alias: No certificate diploma or degree (Male)
)
F115_Female
(
type: esriFieldTypeInteger, alias: 27. Mathematics and statistics (Female - 25 to 64)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Highest certificate diploma or degree for the population aged 25 to 64 years in private households - 25% sample data
)
F23_Female
(
type: esriFieldTypeInteger, alias: Humanities (Female - 15 years and older)
)
F20_Male
(
type: esriFieldTypeInteger, alias: Visual and performing arts and communications technologies (Male - 15 years and older)
)
F13_Total
(
type: esriFieldTypeInteger, alias: Degree in medicine dentistry veterinary medicine or optometry (Total)
)
F90_Total
(
type: esriFieldTypeInteger, alias: 38. Philosophy and religious studies (Total - 25 to 64)
)
F83_Female
(
type: esriFieldTypeInteger, alias: 10. Communications technologies/technicians and support services (Female - 25 to 64)
)
F61_Male
(
type: esriFieldTypeInteger, alias: 47. Mechanic and repair technologies/technicians (Male - 15 years and older)
)
F34_Male
(
type: esriFieldTypeInteger, alias: 09. Communication journalism and related programs (Male - 15 years and older)
)
F79_Female
(
type: esriFieldTypeInteger, alias: No postsecondary certificate diploma or degree (Female - 25 to 64)
)
F75_Male
(
type: esriFieldTypeInteger, alias: 49. Transportation and materials moving (Male - 15 years and older)
)
F58_Female
(
type: esriFieldTypeInteger, alias: 15. Engineering technologies and engineering-related fields (Female - 15 years and older)
)
F127_Female
(
type: esriFieldTypeInteger, alias: 03. Natural resources and conservation (Female - 25 to 64)
)
F70_Male
(
type: esriFieldTypeInteger, alias: Personal protective and transportation services (Male - 15 years and older)
)
F139_Total
(
type: esriFieldTypeInteger, alias: 30.99 Multidisciplinary/interdisciplinary studies other (Total - 25 to 64)
)
F131_Total
(
type: esriFieldTypeInteger, alias: 60. Dental medical and veterinary residency programs (Total - 25 to 64)
)
F91_Total
(
type: esriFieldTypeInteger, alias: 39. Theology and religious vocations (Total - 25 to 64)
)
F36_Male
(
type: esriFieldTypeInteger, alias: 22. Legal professions and studies (Male - 15 years and older)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total labour force population aged 15 years and over by occupation - National Occupational Classification (NOC) 2016 - 25% sample data
)
F5_Total
(
type: esriFieldTypeInteger, alias: 1 Business finance and administration occupations (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: 2 Natural and applied sciences and related occupations (Total)
)
F7_Total
(
type: esriFieldTypeInteger, alias: 3 Health occupations (Total)
)
F8_Total
(
type: esriFieldTypeInteger, alias: 4 Occupations in education law and social community and government services (Total)
)
F9_Total
(
type: esriFieldTypeInteger, alias: 5 Occupations in art culture recreation and sport (Total)
)
F10_Total
(
type: esriFieldTypeInteger, alias: 6 Sales and service occupations (Total)
)
F11_Total
(
type: esriFieldTypeInteger, alias: 7 Trades transport and equipment operators and related occupations (Total)
)
F12_Total
(
type: esriFieldTypeInteger, alias: 8 Natural resources agriculture and related production occupations (Total)
)
F13_Total
(
type: esriFieldTypeInteger, alias: 9 Occupations in manufacturing and utilities (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total labour force population aged 15 years and over by occupation - National Occupational Classification (NOC) 2016 - 25% sample data (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: 1 Business finance and administration occupations (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: 2 Natural and applied sciences and related occupations (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: 3 Health occupations (Male)
)
F8_Male
(
type: esriFieldTypeInteger, alias: 4 Occupations in education law and social community and government services (Male)
)
F9_Male
(
type: esriFieldTypeInteger, alias: 5 Occupations in art culture recreation and sport (Male)
)
F10_Male
(
type: esriFieldTypeInteger, alias: 6 Sales and service occupations (Male)
)
F11_Male
(
type: esriFieldTypeInteger, alias: 7 Trades transport and equipment operators and related occupations (Male)
)
F12_Male
(
type: esriFieldTypeInteger, alias: 8 Natural resources agriculture and related production occupations (Male)
)
F13_Male
(
type: esriFieldTypeInteger, alias: 9 Occupations in manufacturing and utilities (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total labour force population aged 15 years and over by occupation - National Occupational Classification (NOC) 2016 - 25% sample data (Female)
)
F4_Male
(
type: esriFieldTypeInteger, alias: French (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Other language(s) spoken regularly at home for the total population excluding institutional residents - 100% data (Female)
)
F3_Total
(
type: esriFieldTypeInteger, alias: English (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Other language(s) spoken regularly at home for the total population excluding institutional residents - 100% data (Male)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Other language(s) spoken regularly at home for the total population excluding institutional residents - 100% data
)
F4_Total
(
type: esriFieldTypeInteger, alias: French (Total)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Non-official language (Male)
)
F8_Total
(
type: esriFieldTypeInteger, alias: English and French (Total)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Non-official language (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: English (Female)
)
F10_Male
(
type: esriFieldTypeInteger, alias: French and non-official language (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: French (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Other language(s) used regularly at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% Sample Data (Female)
)
F3_Total
(
type: esriFieldTypeInteger, alias: English (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Other language(s) used regularly at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% Sample Data (Male)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Other language(s) used regularly at work for the population in private households aged 15 years and over who worked since January 1 2015 - 25% Sample Data
)
F4_Total
(
type: esriFieldTypeInteger, alias: French (Total)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Non-official language (Male)
)
F8_Total
(
type: esriFieldTypeInteger, alias: English and French (Total)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Non-official language (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: English (Female)
)
F10_Male
(
type: esriFieldTypeInteger, alias: French and non-official language (Male)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Place of work status for the employed labour force aged 15 years and over in private households - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Worked at home (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Worked outside Canada (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Worked at usual place (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Place of work status for the employed labour force aged 15 years and over in private households - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Worked at home (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Worked outside Canada (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Worked at usual place (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Place of work status for the employed labour force aged 15 years and over in private households - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Worked at home (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Worked outside Canada (Female)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Selected places of birth for the recent immigrant population in private households - 25% sample data (Female)
)
F45_Total
(
type: esriFieldTypeInteger, alias: Japan (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Selected places of birth for the recent immigrant population in private households - 25% sample data (Male)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Selected places of birth for the recent immigrant population in private households - 25% sample data
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total - Time leaving for work for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Between 5 a.m. and 5:59 a.m. (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Between 6 a.m. and 6:59 a.m. (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: Between 7 a.m. and 7:59 a.m. (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Between 8 a.m. and 8:59 a.m. (Total)
)
F6_Total
(
type: esriFieldTypeInteger, alias: Between 9 a.m. and 11:59 a.m. (Total)
)
F7_Total
(
type: esriFieldTypeInteger, alias: Between 12 p.m. and 4:59 a.m. (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total - Time leaving for work for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Between 5 a.m. and 5:59 a.m. (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Between 6 a.m. and 6:59 a.m. (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Between 7 a.m. and 7:59 a.m. (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Between 8 a.m. and 8:59 a.m. (Male)
)
F6_Male
(
type: esriFieldTypeInteger, alias: Between 9 a.m. and 11:59 a.m. (Male)
)
F7_Male
(
type: esriFieldTypeInteger, alias: Between 12 p.m. and 4:59 a.m. (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total - Time leaving for work for the employed labour force aged 15 years and over in private households with a usual place of work or no fixed workplace address - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Between 5 a.m. and 5:59 a.m. (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Between 6 a.m. and 6:59 a.m. (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Between 7 a.m. and 7:59 a.m. (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Between 8 a.m. and 8:59 a.m. (Female)
)
F6_Female
(
type: esriFieldTypeInteger, alias: Between 9 a.m. and 11:59 a.m. (Female)
)
F7_Female
(
type: esriFieldTypeInteger, alias: Between 12 p.m. and 4:59 a.m. (Female)
)
F1_Total
(
type: esriFieldTypeInteger, alias: Total population aged 15 years and over by work activity during the reference year - 25% sample data
)
F2_Total
(
type: esriFieldTypeInteger, alias: Did not work (Total)
)
F3_Total
(
type: esriFieldTypeInteger, alias: Worked (Total)
)
F4_Total
(
type: esriFieldTypeInteger, alias: Worked full year full time (Total)
)
F5_Total
(
type: esriFieldTypeInteger, alias: Worked part year and/or part time (Total)
)
F6_Total
(
type: esriFieldTypeDouble, alias: Average weeks worked in reference year (Total)
)
F1_Male
(
type: esriFieldTypeInteger, alias: Total population aged 15 years and over by work activity during the reference year - 25% sample data (Male)
)
F2_Male
(
type: esriFieldTypeInteger, alias: Did not work (Male)
)
F3_Male
(
type: esriFieldTypeInteger, alias: Worked (Male)
)
F4_Male
(
type: esriFieldTypeInteger, alias: Worked full year full time (Male)
)
F5_Male
(
type: esriFieldTypeInteger, alias: Worked part year and/or part time (Male)
)
F6_Male
(
type: esriFieldTypeDouble, alias: Average weeks worked in reference year (Male)
)
F1_Female
(
type: esriFieldTypeInteger, alias: Total population aged 15 years and over by work activity during the reference year - 25% sample data (Female)
)
F2_Female
(
type: esriFieldTypeInteger, alias: Did not work (Female)
)
F3_Female
(
type: esriFieldTypeInteger, alias: Worked (Female)
)
F4_Female
(
type: esriFieldTypeInteger, alias: Worked full year full time (Female)
)
F5_Female
(
type: esriFieldTypeInteger, alias: Worked part year and/or part time (Female)
)
F6_Female
(
type: esriFieldTypeDouble, alias: Average weeks worked in reference year (Female)
)