Our Data Source
We found this data source on Open Canada. The dataset allowed us to filter out specific Labour force characteristics as well as age groups. We decided to choose the age group of 25 to 54 years old. We choose data from all provinces, including Canada overall as well.
Unemployment Rate of individuals BORN in Canada
A chart showing the total average unemployment rate by PROVINCE from 2015-2023
immi_data %>% group_by(Province) %>% summarize(Avg_Unemploy_Rate=mean(`Born.in.Canada...Unemp..Rate`))## # A tibble: 11 × 2
## Province Avg_Unemploy_Rate
## <chr> <dbl>
## 1 Alberta 5.8
## 2 British Columbia 4.51
## 3 Canada 5.08
## 4 Manitoba 4.52
## 5 New Brunswick 7.02
## 6 Newfoundland and Labrador 11.0
## 7 Nova Scotia 6.58
## 8 Ontario 4.89
## 9 Prince Edward Island 7.79
## 10 Quebec 4.48
## 11 Saskatchewan 4.98
A Chart showing the average unemployment rate by YEAR throughout Canada
## # A tibble: 9 × 2
## Year Avg_Unemploy_Rate
## <int> <dbl>
## 1 2015 6.49
## 2 2016 6.79
## 3 2017 6.4
## 4 2018 5.95
## 5 2019 5.51
## 6 2020 7.77
## 7 2021 6.45
## 8 2022 4.65
## 9 2023 4.53
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Born.in.Canada...Unemp..Rate`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Born in Canada",x="Year",y="Unemployment Rate")Part Time employment of individuals BORN in Canada
A Chart showing the average part time employment rate by PROVINCE from 2015-2023
## # A tibble: 11 × 2
## Province Avg_Part_Time
## <chr> <dbl>
## 1 Alberta 131.
## 2 British Columbia 155.
## 3 Canada 946.
## 4 Manitoba 34.6
## 5 New Brunswick 16.4
## 6 Newfoundland and Labrador 12.5
## 7 Nova Scotia 26.7
## 8 Ontario 324.
## 9 Prince Edward Island 3.52
## 10 Quebec 212.
## 11 Saskatchewan 30.9
A Chart showing the average part time employment rate by YEAR throughout Canada
## # A tibble: 9 × 2
## Year Avg_Part_Time
## <int> <dbl>
## 1 2015 185.
## 2 2016 184.
## 3 2017 185.
## 4 2018 180.
## 5 2019 173.
## 6 2020 160.
## 7 2021 164.
## 8 2022 157.
## 9 2023 159.
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Born.in.Canada...Part.time`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Born in Canada",x="Year",y="Part Time")Full time employment of individuals BORN in Canada
A Chart showing the average employment rate by PROVINCE from 2015-2023
## # A tibble: 11 × 2
## Province Avg_Employment
## <chr> <dbl>
## 1 Alberta 1095.
## 2 British Columbia 1077.
## 3 Canada 8622.
## 4 Manitoba 302.
## 5 New Brunswick 210.
## 6 Newfoundland and Labrador 142.
## 7 Nova Scotia 257.
## 8 Ontario 3016.
## 9 Prince Edward Island 41.8
## 10 Quebec 2186.
## 11 Saskatchewan 295
A Chart showing the average employment rate by YEAR throughout Canada
## # A tibble: 9 × 2
## Year Avg_Employment
## <int> <dbl>
## 1 2015 1591.
## 2 2016 1561.
## 3 2017 1572.
## 4 2018 1566.
## 5 2019 1571.
## 6 2020 1513.
## 7 2021 1538.
## 8 2022 1591.
## 9 2023 1607.
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Born.in.Canada...Employment`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Born in Canada",x="Year",y="Employment")Unemployed individuals BORN in Canada
A Chart showing the average unemployed rate by PROVINCE from 2015-2023
## # A tibble: 11 × 2
## Province Avg_Unemployed
## <chr> <dbl>
## 1 Alberta 67.5
## 2 British Columbia 50.8
## 3 Canada NA
## 4 Manitoba 14.3
## 5 New Brunswick 15.9
## 6 Newfoundland and Labrador 17.6
## 7 Nova Scotia 18.0
## 8 Ontario 155.
## 9 Prince Edward Island 3.53
## 10 Quebec 103.
## 11 Saskatchewan 15.4
A Chart showing the average unemployed rate by YEAR throughout Canada
immi_data %>% group_by(Year) %>% summarize(Avg_Unemployed=mean(`Born.in.Canada...Unemployed`, na.rm=TRUE))## # A tibble: 9 × 2
## Year Avg_Unemployed
## <int> <dbl>
## 1 2015 51.2
## 2 2016 51.3
## 3 2017 46.4
## 4 2018 41.5
## 5 2019 39.1
## 6 2020 63.6
## 7 2021 49.9
## 8 2022 35.1
## 9 2023 36.4
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Born.in.Canada...Unemployed`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Born in Canada",x="Year",y="Unemployed")Unemployment Rate of individuals LANDED IMMIGRANTS in Canada
A chart showing the total average unemployment rate by PROVINCE from 2015-2023
immi_data %>% group_by(Province) %>% summarize(Avg_Unemploy_Rate=mean(`Landed.Immigrants...Unemp..Rate`, na.rm = TRUE))## # A tibble: 11 × 2
## Province Avg_Unemploy_Rate
## <chr> <dbl>
## 1 Alberta 7.43
## 2 British Columbia 5.5
## 3 Canada 6.62
## 4 Manitoba 5.33
## 5 New Brunswick 6.57
## 6 Newfoundland and Labrador 8.25
## 7 Nova Scotia 7.03
## 8 Ontario 6.44
## 9 Prince Edward Island 8.38
## 10 Quebec 8
## 11 Saskatchewan 5.9
A Chart showing the average unemployment rate by YEAR throughout Canada
immi_data %>% group_by(Year) %>% summarize(Avg_Unemploy_Rate=mean(`Landed.Immigrants...Unemp..Rate`, na.rm = TRUE))## # A tibble: 9 × 2
## Year Avg_Unemploy_Rate
## <int> <dbl>
## 1 2015 7.43
## 2 2016 6.74
## 3 2017 6.92
## 4 2018 6.23
## 5 2019 5.63
## 6 2020 9.24
## 7 2021 7.84
## 8 2022 5.06
## 9 2023 5.9
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Landed.Immigrants...Unemp..Rate`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Landed Immigrants",x="Year",y="Unemployment Rate")Employment of individuals LANDED IMMIGRANTS in Canada
A chart showing the total average employment rate by PROVINCE from 2015-2023
#Landed Immigrants Employment
immi_data %>% group_by(Province) %>% summarize(Avg_Employment=mean(`Landed.Immigrants...Employment`, na.rm = TRUE))## # A tibble: 11 × 2
## Province Avg_Employment
## <chr> <dbl>
## 1 Alberta 397.
## 2 British Columbia 539.
## 3 Canada 3276.
## 4 Manitoba 105.
## 5 New Brunswick 15.7
## 6 Newfoundland and Labrador 5.08
## 7 Nova Scotia 23.9
## 8 Ontario 1598.
## 9 Prince Edward Island 4.29
## 10 Quebec 528.
## 11 Saskatchewan 60.0
A Chart showing the average employment rate by YEAR throughout Canada
immi_data %>% group_by(Year) %>% summarize(Avg_Employment=mean(`Landed.Immigrants...Employment`, na.rm = TRUE))## # A tibble: 9 × 2
## Year Avg_Employment
## <int> <dbl>
## 1 2015 512.
## 2 2016 542.
## 3 2017 557.
## 4 2018 585.
## 5 2019 608.
## 6 2020 580.
## 7 2021 633.
## 8 2022 662.
## 9 2023 684.
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Landed.Immigrants...Employment`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Landed Immigrants",x="Year",y="Employment")Part Time Employment of individuals LANDED IMMIGRANTS in Canada
A chart showing the total average part time employment rate by PROVINCE from 2015-2023
immi_data %>% group_by(Province) %>% summarize(Avg_Part_Time=mean(`Landed.Immigrants...Part.time`, na.rm = TRUE))## # A tibble: 11 × 2
## Province Avg_Part_Time
## <chr> <dbl>
## 1 Alberta 50.8
## 2 British Columbia 71.2
## 3 Canada 388.
## 4 Manitoba 12.9
## 5 New Brunswick 1.8
## 6 Newfoundland and Labrador 0.7
## 7 Nova Scotia 3.13
## 8 Ontario 178.
## 9 Prince Edward Island 0.611
## 10 Quebec 61.8
## 11 Saskatchewan 7.58
A Chart showing the average part time employment rate by YEAR throughout Canada
immi_data %>% group_by(Year) %>% summarize(Avg_Part_Time=mean(`Landed.Immigrants...Part.time`, na.rm = TRUE))## # A tibble: 9 × 2
## Year Avg_Part_Time
## <int> <dbl>
## 1 2015 71.1
## 2 2016 68.5
## 3 2017 74.6
## 4 2018 68.0
## 5 2019 72.9
## 6 2020 68.8
## 7 2021 75.8
## 8 2022 74.6
## 9 2023 73.6
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Landed.Immigrants...Part.time`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Landed Immigrants",x="Year",y="Part Time")Unemployment of individuals LANDED IMMIGRANTS in Canada
A chart showing the total average unemployed rate by PROVINCE from 2015-2023
immi_data %>% group_by(Province) %>% summarize(Avg_Unemployed=mean(`Landed.Immigrants...Unemployed`, na.rm = TRUE))## # A tibble: 11 × 2
## Province Avg_Unemployed
## <chr> <dbl>
## 1 Alberta 31.5
## 2 British Columbia 31.3
## 3 Canada NaN
## 4 Manitoba 5.9
## 5 New Brunswick 1.11
## 6 Newfoundland and Labrador 0.55
## 7 Nova Scotia 1.74
## 8 Ontario 110.
## 9 Prince Edward Island 0.389
## 10 Quebec 45.2
## 11 Saskatchewan 3.74
A Chart showing the average unemployed by YEAR throughout Canada
immi_data %>% group_by(Year) %>% summarize(Avg_Unemployed=mean(`Landed.Immigrants...Unemployed`, na.rm = TRUE))## # A tibble: 9 × 2
## Year Avg_Unemployed
## <int> <dbl>
## 1 2015 23.4
## 2 2016 24.5
## 3 2017 24.0
## 4 2018 21.3
## 5 2019 21.7
## 6 2020 33.8
## 7 2021 28.9
## 8 2022 20.2
## 9 2023 21.6
This graph is taking the data from both above charts and implementing them into graphs by Province for an easier visual of the data
immi_data %>% ggplot(aes(Year, `Landed.Immigrants...Unemployed`, color=Province))+
geom_line(linewidth=1, show.legend = FALSE)+facet_wrap(~Province)+
labs(title = "Landed Immigrants",x="Year",y="Unemployed")