The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Unemployment Rate in the United States increased to 4.20 percent in July from 4.10 percent in June of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

CSI: Expected Unemployment: Next Yr: More data was reported at 24.000 % in May 2018. This records a decrease from the previous number of 25.000 % for Apr 2018. CSI: Expected Unemployment: Next Yr: More data is updated monthly, averaging 31.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 72.000 % in May 1980 and a record low of 13.000 % in May 1983. CSI: Expected Unemployment: Next Yr: More data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: How about people out of work during the coming 12 months -- do you think there will be more unemployment than now, about the same, or less?

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

What is the relationship between unemployment and inflation?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

United States CSI: Expected Interest Rates: Next Yr: Go Down data was reported at 4.000 % in May 2018. This records a decrease from the previous number of 6.000 % for Apr 2018. United States CSI: Expected Interest Rates: Next Yr: Go Down data is updated monthly, averaging 11.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 54.000 % in Jun 1980 and a record low of 3.000 % in May 2014. United States CSI: Expected Interest Rates: Next Yr: Go Down data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: No one can say for sure, but what do you think will happen to interest rates for borrowing money during the next 12 months -- will they go up, stay the same, or go down?

CSI: Expected Interest Rates: Next Yr: Don’t Know data was reported at 2.000 % in May 2018. This records an increase from the previous number of 1.000 % for Apr 2018. CSI: Expected Interest Rates: Next Yr: Don’t Know data is updated monthly, averaging 2.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 14.000 % in Feb 1978 and a record low of 0.000 % in Nov 2017. CSI: Expected Interest Rates: Next Yr: Don’t Know data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: No one can say for sure, but what do you think will happen to interest rates for borrowing money during the next 12 months -- will they go up, stay the same, or go down?

CSI: Government Economic Policy: Good Job data was reported at 28.000 % in May 2018. This records a decrease from the previous number of 30.000 % for Apr 2018. CSI: Government Economic Policy: Good Job data is updated monthly, averaging 19.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 49.000 % in Mar 1999 and a record low of 4.000 % in Dec 2008. CSI: Government Economic Policy: Good Job data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

EGPB - An Event-based Gold Price Benchmark Dataset

This benchmark dataset consists of 8030 rows and 36 variables sourced from multiple credible economic websites, covering a period from January 2001 to December 2022. This dataset can be utilized to predict gold prices specifically or to aid any economic field that is influenced by the variables in this dataset.

Key variables & Features include:

• Previous gold prices

• Future gold prices with predictions for one day, one week, and one month

• Oil prices

• Standard & Poor's 500 Index (S&P 500)

• Dow Jones Industrial (DJI)

• US dollar index

• US treasury

• Inflation rate

• Consumer price index (CPI)

• Federal funds rate

• Silver prices

• Copper prices

• Iron prices

• Platinum prices

• Palladium prices

Additionally, the dataset considers global events that may impact gold prices, which were categorized into groups and collected from three distinct sources: the Al-Jazeera website spanning from 2022 to 2019, the Investing website spanning from 2018 to 2016, and the Yahoo Finance website spanning from 2007 to 2001.

These events data were then divided into multiple groups:

• Economic data

• Politics

• logistics

• Oil

• OPEC

• Dollar currency

• Sterling pound currency

• Russian ruble currency

• Yen currency

• Euro currency

• US stocks

• Global stocks

• Inflation

• Job reports

• Unemployment rates

• CPI rate

• Interest rates

• Bonds

These events were encoded using a numeric value, where 0 represented no events, 1 represented low events, 2 represented high events, 3 represented stable events, 4 represented unstable events, and 5 represented events that were observed during the day but had no effect on the dataset.

Cite this dataset: Farah Mansour and Wael Etaiwi, "EGPBD: An Event-based Gold Price Benchmark Dataset," 2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252987.

@INPROCEEDINGS{10252987, author={Mansour, Farah and Etaiwi, Wael}, booktitle={2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)}, title={EGPBD: An Event-based Gold Price Benchmark Dataset}, year={2023}, volume={}, number={}, pages={1-7}, doi={10.1109/ICECCME57830.2023.10252987}}

CSI: Expected Inflation: Next 5 Yrs: Up by 6-9% data was reported at 3.000 % in May 2018. This records an increase from the previous number of 2.000 % for Apr 2018. CSI: Expected Inflation: Next 5 Yrs: Up by 6-9% data is updated monthly, averaging 4.000 % from Feb 1979 (Median) to May 2018, with 380 observations. The data reached an all-time high of 18.000 % in Jul 1982 and a record low of 1.000 % in Nov 2017. CSI: Expected Inflation: Next 5 Yrs: Up by 6-9% data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'What about the outlook for prices over the next 5 to 10 years? Do you think prices will be higher, to go up, on the average, during the next 12 months?' and 'By about what percent per year do you expect prices to go up or down, on the average, during the next 5 to 10 years?'

CSI: Expected Unemployment: Next Yr: Don't Know data was reported at 1.000 % in May 2018. This stayed constant from the previous number of 1.000 % for Apr 2018. CSI: Expected Unemployment: Next Yr: Don't Know data is updated monthly, averaging 1.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 6.000 % in May 1978 and a record low of 0.000 % in Feb 2018. CSI: Expected Unemployment: Next Yr: Don't Know data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: How about people out of work during the coming 12 months -- do you think there will be more unemployment than now, about the same, or less?

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

S&P 500: A Bull or a Bear?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Unemployment Rate in the United Kingdom increased to 4.70 percent in May from 4.60 percent in April of 2025. This dataset provides the latest reported value for - United Kingdom Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

MSCI World: Reflecting Global Economic Trends or Inflated Valuations?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset covers ballots 457-58, 460-68 spanning January-February, April-December 1982 (March exists but is missing from the dataset). The dataset contains the data resulting from these polls in ASCII. The ballots are as follows: 457-1 - January This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country and abroad. There are also questions on other topics of interest and importance to the country and government, such as physically abused children, married women who work and changes in standard of living. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: allowing paid maternity leave; approval of Broadbent as NDP leader; approval of Clark as leader of the Conservative party; approval of Trudeau as Prime Minister; being involved with charities; the best political party to handle energy, unemployment; energy and to unify Canada; Canada-UK relations; changing the standard of living; children who are physically abused; married women who work; talking about politics with friends; and US-Canada relations. Basic demographic variables are also included. 458-1-2 - February This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as the changing standard of living, inflation and unemployment. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the approval of Broadbent as NDP leader; the approval of Clark as leader of the Conservative party; the approval of Trudeau as Prime Minister; the biggest threat to Canada's future; confidence in the United States problem solving; the dangers of pollution; the importance of Canadian owned industries and resources; increasing the standard of living; the main causes of unemployment; opposing price controls; the political party that would be best for the economy; reducing inflation; reducing unemployment and who would make the best Prime Minister. Basic demographic variables are also included. 460-1-a - April This Gallup poll seeks the opinions of Canadians, on predominantly social issues. The questions ask opinions about the ideal number of children to have and the quality of education. There are also questions on other topics of interest and importance to the country and government, such as municipal council spending and regional differences. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the amount of power that the USSR has; community opinion of the teaching profession; the effects of regional differences in Canada; having the government share the cost of child care; how interesting work is; ideal number of children to have; involving unions in politics; learning languages in school; municipal council spending; the quality of education today, compared to the past; successfulness of family life; and wives who work. Basic demographic variables are also included. 461-1 - May This Gallup poll seeks the opinions of Canadians, on predominantly political issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as common Sunday activities; Falkland Island and smoking. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: attending church; common Sunday activities; the country with legitimate claims to Falkland island; deciding to have a nuclear war, rather than living under Communist rule; Falkland island dispute; influence of religion on everyday life; opinions about Broadbent as NDP leader; opinions about Clark as leader of the Conservative party; opinions about housing; opinions about the Canadian Immigration policy; opinions about Trudeau as the Liberal leader; opinions of the Canadian Constitution; political preferences; reasons for quitting smoking; smoking cigarettes; viewing religious broadcasts; who dominates the household; and with drawling Argentina's troops from Falkland island. Basic demographic variables are also included. 462-1 - June This Gallup poll seeks the opinions of Canadians, on both political and social issues. The questions ask opinions about political leaders and political issues within the country. There are also questions on other topics of interest and importance to the country and government, such as energy shortages, inflation and swimming ability. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: the approval of Broadbent as NDP leader; the approval of Clark as leader of the Conservative party; the approval of Trudeau as Prime Minister; chances of an energy shortage; chances of finding a new job if fired; the energy crisis in Canada; the government's handling of the economy; learning how to swim; the most important problem facing Canada; preferred political leader; the amount recession in the future; reducing unemployment; rising prices and income; success of controlling inflation; swimming ability; taking a job of less pay or lower status; trying to curb inflation; and using a small boat. Basic demographic variables are also included. 463-1 - July This Gallup poll seeks the opinions of Canadians, on political and social issues. Opinions on topics such as the direction Canada is going in, rising interest rates, and voting behaviour were discussed. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: biggest threat to Canada; business conditions; Canadian defense; direction the country is going in; disarmament; government wage and price control; interest rates; NATO; nuclear War risk; sympathy for Arabs and Israelis; US investment in Canada; voting behaviour. Basic demographic variables are also included. 463-2 - July This Gallup poll seeks the opinions of Canadians, on political and social issues. Opinions on topics such as MacEachen's budget and the federal election were discussed. The respondents were also asked questions so that they could be grouped according to geographical and social variables. Topics of interest include: Macheachen's budget; the federal election; families financial issues. Basic demographic variables are also included. 464-1 - August This Gallup poll seeks the opinions of Canadians, on political and social issues. The questions ask opinions about economic policy and the possibility a new election, as well as other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such attending night school; the importance of religion and unemployment. The respondents were also asked questions so that they could be grouped according to geographical variables. Topics of interest include: allowing civil servants to strike; attending night school; the best political party for the economy; calling an election prior to the end of the year; the closeness of student-teacher relations; confidence in the government's handling of inflation; confidence in the government's handling of unemployment; courses taken in night school; honesty and ethic standards of professions; how important religion is; the main causes of unemployment; opinions about children having a different religion then their parents; the productivity of Canadian workers; putting limits on wage increases; the quality of education today, compared to the past; urgent problems facing Canada; and who would make the best Prime Minister. Basic demographic variables are also included. 465-1 - September This Gallup poll seeks the opinions of Canadians, on political and social issues. The questions ask opinions about economic policy and the possibility a new election, as well as other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such attending night school; the importance of religion and unemployment. The respondents were also asked questions so that they could be grouped according to geographical variables. Basic demographic variables are also included. 465-4 - September This Gallup poll seeks the opinions of Canadians, on political and social issues. The questions ask opinions about economic policy and the possibility a new election, as well as other important political issues within the country. There are also questions on other topics of interest and importance to the country and government, such attending night school; the importance of religion and unemployment. The respondents were also asked questions so that they could be grouped according to geographical variables. Basic demographic variables are also included. 466-3 - October This Gallup poll seeks the opinions of Canadians, on predictions for 1983 and the chance of war. The questions ask opinions about whether or not 1983 will be better then 1982, as well as other predictions on world peace and striking unions. There are also questions on other topics of interest and importance to the country and government, such as the chances of a world war. The respondents were also asked questions so that they could be grouped according to geographic and social variables. Topics of interest include: the chances of a world war breaking out and predictions for 1983. Basic demographic variables are also included. 467-1 - November This

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Can Strategic Education (STRA) Stock Help Fund Retirement?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

CSI: Expected Inflation: Next 5 Yrs data was reported at 2.400 % in Jul 2018. This records a decrease from the previous number of 2.600 % for Jun 2018. CSI: Expected Inflation: Next 5 Yrs data is updated monthly, averaging 2.900 % from Feb 1979 (Median) to Jul 2018, with 382 observations. The data reached an all-time high of 9.700 % in Feb 1980 and a record low of 2.300 % in Dec 2016. CSI: Expected Inflation: Next 5 Yrs data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'What about the outlook for prices over the next 5 to 10 years? Do you think prices will be higher, to go up, on the average, during the next 12 months?' and 'By about what percent per year do you expect prices to go up or down, on the average, during the next 5 to 10 years?'

CSI: Expected Inflation: Next Yr: Down data was reported at 1.000 % in May 2018. This stayed constant from the previous number of 1.000 % for Apr 2018. CSI: Expected Inflation: Next Yr: Down data is updated monthly, averaging 3.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 23.000 % in Dec 2008 and a record low of 0.000 % in Oct 1999. CSI: Expected Inflation: Next Yr: Down data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The questions were: 'During the next 12 months, do you think that prices in general will go up, or go down, or stay where they are now?' and 'By what percent do you expect prices to go up, on the average, during the next 12 months?'

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

An In-depth Analysis of the S&P 500 Index: Performance, Composition, and Implications

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Unemployment Rate in Canada decreased to 6.90 percent in June from 7 percent in May of 2025. This dataset provides - Canada Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.