In 2023, Eswatini had the highest unemployment rate in the world, at 37.6 percent. Of the 10 countries with the highest unemployment rates, nine were in Sub-Saharan Africa. What exactly is unemployment? The unemployment rate is the number of people in the workforce currently looking for jobs but not working. This number does not include students and retirees, as they are not looking for work, nor does it include people who have given up on finding a job (known as discouraged workers). Comparing international unemployment rates can be problematic, however, as different countries use different methodologies when classifying unemployment. For example, Niger records the third lowest unemployment rate in the world, despite often being listed as the least developed country worldwide - this is because the majority of the population engage in subsistence farming, with very little opportunity for paid employment. Causes of unemployment in less developed countries A major driver in unemployment in these countries is conflict. In particular, internally displaced persons (IDPs) want to work, but moving to another part of the country disrupts their business network and moves them into a local economy with different labor demand. Countries with low levels of economic development, as roughly indicated by a low GDP per capita, often have fewer labor market opportunities, leading to high unemployment rates.

In 2023, the rate of surveyed unemployment in urban areas of China amounted to approximately 5.2 percent. The unemployment rate is expected to decrease slightly to 5.1 percent in 2024 and the following years. Monthly unemployment ranged at a level of around 5.2 percent in the third quarter of 2024. Unemployment rate in China In 2017, the National Statistics Bureau of China introduced surveyed unemployment as a new indicator of unemployment in the country. It is based on monthly surveys among the labor force in urban areas of China. Surveyed unemployment replaced registered unemployment figures, which were often criticized for missing out large parts of the urban labor force and thereby not presenting a true picture of urban unemployment levels. However, current unemployment figures still do not include rural areas.A main concern in China’s current state of employment lies within the large regional differences. As of 2021, the unemployment rate in northeastern regions of China was notably higher than in China’s southern parts. In Beijing, China’s political and cultural center, registered unemployment ranged at around 3.2 percent for 2021. Indicators of economic activities Apart from the unemployment rate, most commonly used indicators to measure economic activities of a country are GDP growth and inflation rate. According to an IMF forecast, GDP growth in China will decrease to about 4.8 percent in 2024, after 5.2 percent in 2023, depicting a decrease of six percentage points from 10.6 percent in 2010. Quarterly growth data published by the National Bureau of Statistics indicated 4.6 percent GDP growth for the third quarter of 2024.

Stagflation (stagnation and inflation in one word) depicts a time period when an economy is not only suffering from a recession (declining GDP), but high unemployment and inflation rates as well. Usually unemployment and inflation are inversely related, which makes stagflation a rare occurrence. It first happened in the 1970s, when OPEC put an oil embargo on the United States, resulting in oil prices skyrocketing to three times the standard value at that time. As of September 2023, the price of oil fell by 20 percent in comparison to last year after having increased by 76 perent as a result of Russian invasion of Ukraine. The has been signs of stagflation in some countries through 2022 and 2023, but falling inflation rates indicate that the worst has been avoided.

Graph and download economic data for FOMC Summary of Economic Projections for the Civilian Unemployment Rate, Central Tendency, High (UNRATECTH) from 2025 to 2027 about projection, civilian, unemployment, rate, and USA.

Unemployment Rate in France decreased to 7.30 percent in the fourth quarter of 2024 from 7.40 percent in the third quarter of 2024. This dataset provides the latest reported value for - France Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

The seasonally-adjusted national unemployment rate is measured on a monthly basis in the United States. In October 2024, the national unemployment rate was at 4.1 percent. Seasonal adjustment is a statistical method of removing the seasonal component of a time series that is used when analyzing non-seasonal trends. U.S. monthly unemployment rate According to the Bureau of Labor Statistics - the principle fact-finding agency for the U.S. Federal Government in labor economics and statistics - unemployment decreased dramatically between 2010 and 2019. This trend of decreasing unemployment followed after a high in 2010 resulting from the 2008 financial crisis. However, after a smaller financial crisis due to the COVID-19 pandemic, unemployment reached 8.1 percent in 2020. As the economy recovered, the unemployment rate fell to 5.3 in 2021, and fell even further in 2022. Additional statistics from the BLS paint an interesting picture of unemployment in the United States. In November 2023, the states with the highest (seasonally adjusted) unemployment rate were the Nevada and the District of Columbia. Unemployment was the lowest in Maryland, at 1.8 percent. Workers in the agricultural and related industries suffered the highest unemployment rate of any industry at seven percent in December 2023.

Note: Because missing values are removed from this dataset, any form of non-response (e.g. valid skip, not stated) or don't know/refusal cannot be coded as a missing. The "Sysmiss" label in the Statistics section indicates the number of non-responding records for each variable, and the "Valid" values in the Statistics section indicate the number of responding records for each variable. The total number of records for each variable is comprised of both the sysmiss and valid values. The Labour Force Survey provides estimates of employment and unemployment which are among the most timely and important measures of performance of the Canadian economy. With the release of the survey results only 13 days after the completion of data collection, the LFS estimates are the first of the major monthly economic data series to be released. The Canadian Labour Force Survey was developed following the Second World War to satisfy a need for reliable and timely data on the labour market. Information was urgently required on the massive labour market changes involved in the transition from a war to a peace-time economy. The main objective of the LFS is to divide the working-age population into three mutually exclusive classifications - employed, unemployed, and not in the labour force - and to provide descriptive and explanatory data on each of these. LFS data are used to produce the well-known unemployment rate as well as other standard labour market indicators such as the employment rate and the participation rate. The LFS also provides employment estimates by industry, occupation, public and private sector, hours worked and much more, all cross-classifiable by a variety of demographic characteristics. Estimates are produced for Canada, the provinces, the territories and a large number of sub-provincial regions. For employees, wage rates, union status, job permanency and workplace size are also produced. These data are used by different levels of government for evaluation and planning of employment programs in Canada. Regional unemployment rates are used by Human Resources Development Canada to determine eligibility, level and duration of insurance benefits for persons living within a particular employment insurance region. The data are also used by labour market analysts, economists, consultants, planners, forecasters and academics in both the private and public sector.

United States - Unemployment Rate - College Graduates - Doctoral Degree, 25 years and over was 1.20% in February of 2025, according to the United States Federal Reserve. Historically, United States - Unemployment Rate - College Graduates - Doctoral Degree, 25 years and over reached a record high of 4.50 in June of 2020 and a record low of 0.30 in February of 2001. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Unemployment Rate - College Graduates - Doctoral Degree, 25 years and over - last updated from the United States Federal Reserve on March of 2025.

Employment Rate in the United States decreased to 59.90 percent in February from 60.10 percent in January of 2025. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in Australia remained unchanged at 4.10 percent in February. This dataset provides - Australia Unemployment Rate at 5.8% in December - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The unemployment rate in the Republic of Ireland was 3.9 percent in February 2025, compared with 3.9 percent in the previous month. Between 2000 and 2007, Ireland's unemployment rate was broadly stable, fluctuating between 3.9 and 5.4 percent. Following the global financial crisis, however, Ireland's unemployment rate increased dramatically, eventually peaking at 16.1 percent in early 2012. For the next eight years, unemployment gradually fell, eventually reaching pre-crisis levels in the late 2010s. This was, however, followed by an uptick in unemployment due to the COVID-19 pandemic, which peaked at 7.6 percent in March 2021, before falling to pre-pandemic levels by February 2022. Risk and rewards of the Irish economic model After being quite hard hit by the global financial crisis of 2008, Ireland staged a strong recovery in the mid-2010s, and was frequently the EU's fastest growing economy between 2014 and 2022. This growth, was however, fueled in part by multinational companies, such as Apple, basing their European operations in the country. As of 2022, an adjusted measure of gross national income valued Ireland's economy at around 273 billion Euros, rather than the 506 billion Euros GDP figure. Ireland's close economic relationship with American tech companies also leaves it vulnerable to the political weather in the United States. It is currently unclear, for example, what the recent return to power of Donald Trump as President in early 2025 could mean for the Irish economy going forward. Ireland's labor market As of the third quarter of 2024, there were approximately 2.79 million people employed in the Republic of Ireland. Of these workers, 379,200 people worked in Ireland's human health and social work sector, the most of any industry at that time. Other sectors with high employment levels include wholesale and retail trade, at 323,500 people, and education, at 228,200 people. While unemployment still remains quite low, some indicators suggest a moderate loosening of the labor market. Job vacancies, are slightly down from their peak of 35,300 in Q2 2022, amounting to 28,900 in Q3 2024, while youth unemployment has begun to tick upwards, and was 11.9 percent in January 2025.

Unemployment Rate in Egypt decreased to 6.40 percent in the fourth quarter of 2024 from 6.70 percent in the third quarter of 2024. This dataset provides - Egypt Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This is a submission for Challenge #24 by Desights User

Click here for Challenge Details Note: This submission is in REVIEW state and is only accessible by Challenge Reviewers. So you might get errors when you try to download this asset directly from Ocean Market.

Submission Description

Deciphering Crypto Trends challenge proposes the analysis of how the level of interest on google trends influences the price of a cryptocurrency.

The first insights showcase a positive correlation between the level of interest and token price, which is understanbale since more interest could be seen as more investments.

Later on, Unemployment rates data has been selected to enhance the analysis. Unemploymet rates are a mesure of how healthy the economy of a country is. Usually, lower rates would indicate that the country is in a good economical moment and therefore those moments are usually seen as moments to invest. However, as a first intake the influence of the Unemployment rates is not as big as one could expect. Maybe other securities like Gold may be more influenciated.

Finally, an ARIMA model has been trained to forecast the upcomming 3 months of level of interest through google trends for the Ethereum token.

For any question related to the challenge you can contact me through discord @xmarkitus or at: llopartdata@gmail.com.

Unemployment Rate in Singapore remained unchanged at 1.90 percent in the fourth quarter of 2024 from 1.90 percent in the third quarter of 2024. This dataset provides the latest reported value for - Singapore Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This datasets presents regional estimates of the unemployment rate of Statistical Area Level 2 (SA2) regions for each quarter starting December 2010 up to June 2020. The boundaries used for the dataset follow the 2016 edition of the Australian Statistical Geography Standard (ASGS).

Small Area Labour Markets (SALM) presents regional estimates of unemployment and the unemployment rate at two small area levels:

• Approximately 2,200 ABS SA2s, on a State/Territory and Metropolitan/Non-metropolitan basis. Estimates for the Capital City and the Rest of State are provided for the States and the Northern Territory.

• For approximately 540 Australian LGAs.

The SALM Estimates have been smoothed using a four-quarter average to minimise the variability inherent in small area estimates. A description of the methodology used to prepare the estimates in this publication is available on the Explanatory Notes page.

Caution: Highly disaggregated estimates of unemployment and the unemployment rate at the SA2 and LGA level can display significant variability and should be viewed with caution, particularly in regions where the SA4 level unemployment data are showing considerable volatility. As a result, quarter-to-quarter comparisons may not indicate actual movements in the labour market so we recommend using year-on-year comparisons. Even then, large movements in the SA2 and LGA data should be viewed with caution.

The COVID-19 pandemic began to have a significant impact on the Australian labour market from March 2020, when Australia recorded its 100th COVID-19 case and the initial shutdown of non-essential services and trading restrictions took effect. Learn more about the dataset at the LMIP.

AURIN has spatially enabled the original data. Smoothed Estimates are not available for all SA2s and LGAs, for more information see the SALM 2016 ASGS Changeover User Guide.

Brazil National Consumer Confidence Index: Expectation: Unemployment: From 2 to 5 Minumum Wages data was reported at 56.275 Point in Jun 2019. This records an increase from the previous number of 52.725 Point for Mar 2019. Brazil National Consumer Confidence Index: Expectation: Unemployment: From 2 to 5 Minumum Wages data is updated quarterly, averaging 60.537 Point from Mar 2009 (Median) to Jun 2019, with 42 observations. The data reached an all-time high of 74.675 Point in Jun 2015 and a record low of 49.275 Point in Dec 2018. Brazil National Consumer Confidence Index: Expectation: Unemployment: From 2 to 5 Minumum Wages data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SJ004: National Consumer Confidence Index: by Family Income. Diffusion Index On expectation indicators the values above 50 points indicate growth expectancy, while values below 50 points indicate expectancy of fall. Exceptionally the first result of 2019 refers to the month of April/2019 instead of March/2019.

Graph and download economic data for Unemployment Rate in Greene County, TN (TNGREE5URN) from Jan 1990 to Jan 2025 about Greene County, TN; TN; unemployment; rate; and USA.

Brazil National Consumer Confidence Index: Expectation: Unemployment: More Than 5 Minimum Wages data was reported at 53.700 Point in Jun 2019. This records an increase from the previous number of 52.025 Point for Mar 2019. Brazil National Consumer Confidence Index: Expectation: Unemployment: More Than 5 Minimum Wages data is updated quarterly, averaging 58.612 Point from Mar 2009 (Median) to Jun 2019, with 42 observations. The data reached an all-time high of 76.300 Point in Dec 2015 and a record low of 45.100 Point in Dec 2018. Brazil National Consumer Confidence Index: Expectation: Unemployment: More Than 5 Minimum Wages data remains active status in CEIC and is reported by National Confederation of Industry. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SJ004: National Consumer Confidence Index: by Family Income. Diffusion Index On expectation indicators the values above 50 points indicate growth expectancy, while values below 50 points indicate expectancy of fall. Exceptionally the first result of 2019 refers to the month of April/2019 instead of March/2019.

Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.