Data Source - Statistics Canada

We found this data source on Stat Canada, which enabled us to refine our focus on particular labor force characteristics and age brackets. Opting for the age range of 25 to 54 years, we selected data encompassing all provinces, including Canada as a whole

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Unemployment Rate of individuals BORN in Canada

This chart illustrates the cumulative average unemployment rates by PROVINCE from 2015 to 2023 among Canadian-born citizens

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

This chart illustrates the cumulative average unemployment rates by YEAR from 2015 to 2023 among Canadian-born citizens throughout all of Canada

immi_data %>% group_by(Year) %>% summarize(Avg_Unemploy_Rate=mean(`Born.in.Canada...Unemp..Rate`))
## # 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 combines the data from the preceding charts, presenting it graphically on a provincial basis for enhanced visualization.

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")

Unemployment Rate of individuals LANDED IMMIGRANTS in Canada

This chart illustrates the cumulative average unemployment rates by PROVINCE from 2015 to 2023 among landed immigrants in Canada

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

This chart illustrates the cumulative average unemployment rates by YEAR from 2015 to 2023 among landed immigrants throughout all of 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 combines the data from the preceding charts, presenting it graphically on a provincial basis for enhanced visualization.

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")