oecd_unemployment_data: OECD International unemployment statistics

In seandavi/sars2pack: COVID-19 data resources and analysis tools

OECD International unemployment statistics

Description

The Organisation for Economic Co-operation and Development (OECD) is an international organisation and collects and reports broadly on economic and social factors.

Usage

oecd_unemployment_data()

Details

Unemployment rate is the number of unemployed people as a percentage of the labour force, where the latter consists of the unemployed plus those in paid or self-employment. Unemployed people are those who report that they are without work, that they are available for work and that they have taken active steps to find work in the last four weeks. When unemployment is high, some people become discouraged and stop looking for work; they are then excluded from the labour force. This implies that the unemployment rate may fall, or stop rising, even though there has been no underlying improvement in the labour market.

Value

a data.frame

Author(s)

Sean Davis [e-mail]

Source

https://data.oecd.org/unemp/unemployment-rate.htm

References

OECD (2020), Unemployment rate (indicator). doi: 10.1787/997c8750-en (Accessed on 05 June 2020)

See Also

Other data-import: acaps_government_measures_data(), acaps_secondary_impact_data(), apple_mobility_data(), beoutbreakprepared_data(), cci_us_vaccine_data(), cdc_aggregated_projections(), cdc_excess_deaths(), cdc_social_vulnerability_index(), coronadatascraper_data(), coronanet_government_response_data(), cov_glue_lineage_data(), cov_glue_newick_data(), cov_glue_snp_lineage(), covidtracker_data(), descartes_mobility_data(), ecdc_data(), econ_tracker_consumer_spending, econ_tracker_employment, econ_tracker_unemp_data, economist_excess_deaths(), financial_times_excess_deaths(), google_mobility_data(), government_policy_timeline(), jhu_data(), jhu_us_data(), kff_icu_beds(), nytimes_county_data(), owid_data(), param_estimates_published(), test_and_trace_data(), us_county_geo_details(), us_county_health_rankings(), us_healthcare_capacity(), us_hospital_details(), us_state_distancing_policy(), usa_facts_data(), who_cases()

Examples

unemp = oecd_unemployment_data()
unemp
dplyr::glimpse(unemp)
summary(unemp)


library(ggplot2)
us_month_unemp = unemp %>% 
    dplyr::filter(iso3c=='USA' & frequency=='month')
p1 = ggplot(us_month_unemp,aes(x=date,y=value,color=subject)) + geom_line()
p2 = dplyr::filter(us_month_unemp,date>'2019-11-01') %>%
    ggplot(aes(x=date,y=value,color=subject)) + 
    geom_line() + theme(legend.position='none')
    
p1 + annotation_custom(ggplotGrob(p2), 
                       xmin = as.Date("1960-01-01"), xmax = as.Date("1990-01-01"), 
                       ymin = 10, ymax = 16)

seandavi/sars2pack documentation built on May 13, 2022, 3:41 p.m.