In 2021, the unemployment rate among among permanent residents in Greenland aged 18 to 65 years was 3.7 percent, the lowest under the period under consideration. In the second quarter of 2022, the most common age group of job seekers in Greenland was 20 to 24-year-olds.

Greenland GL: Unemployment: National Estimate: Male: % of Male Labour Force data was reported at 8.900 % in 2015. This records a decrease from the previous number of 10.300 % for 2014. Greenland GL: Unemployment: National Estimate: Male: % of Male Labour Force data is updated yearly, averaging 10.420 % from Dec 1996 (Median) to 2015, with 17 observations. The data reached an all-time high of 15.130 % in 1996 and a record low of 7.800 % in 2010. Greenland GL: Unemployment: National Estimate: Male: % of Male Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank: Employment and Unemployment. Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Greenland GL: Unemployment: National Estimate: % of Total Labour Force data was reported at 9.100 % in 2015. This records a decrease from the previous number of 10.300 % for 2014. Greenland GL: Unemployment: National Estimate: % of Total Labour Force data is updated yearly, averaging 9.800 % from Dec 1993 (Median) to 2015, with 19 observations. The data reached an all-time high of 12.920 % in 1996 and a record low of 7.600 % in 1993. Greenland GL: Unemployment: National Estimate: % of Total Labour Force data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank: Employment and Unemployment. Unemployment refers to the share of the labor force that is without work but available for and seeking employment. Definitions of labor force and unemployment differ by country.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

In Denmark, the highest unemployment rate in 2022 could be found among youth between 25 and 29 years, who had an unemployment rate of 4.4 percent that year. People between 30 and 34 years had the second highest unemployment rate. On the other hand, the lowest unemployment rate was among people between 50 and 54 years of age. The unemployment rate in Denmark rose sharply in 2020 following the outbreak of COVID-19, but decreased again the following years.

 Receiving unemployment benefits in Denmark 

By law, Danes have the right to receive unemployment benefits. There are requirements to be eligible for unemployment benefits in Denmark: being a member of an unemployment insurance fund called “A-kasse” is necessary as well as having earned a specific amount of money in the past. In addition, being registered at the Public Employment Service is required and as of January 2019, only people who have stayed in Denmark, Greenland, Faroe Islands or another EU/EEA country in seven out of the last eight years can claim unemployment benefits.

Labor market

Since 2012, the number of employed Danes was growing each year, but experienced a setback in 2020 due to COVID-19. The Danish labor market is known for the Flexicurity Model – a combination of market economy and a welfare state, and due to this model, the labor market can reflect the needs of employers and guarantee the welfare of employees which creates many possibilities for both sides.

A total of 4,734 people were registered job seekers in Greenland in the last quarter of 2022. Among these, the age group with the highest number of registered jobseekers was 20 to 24-year-olds, counting 634 people. Since 2014, the unemployment rate decreased every year in Greenland.

Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Male data was reported at 63.000 % in 2015. This records an increase from the previous number of 61.000 % for 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Male data is updated yearly, averaging 62.500 % from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 66.000 % in 2008 and a record low of 61.000 % in 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Female data was reported at 57.000 % in 2015. This records an increase from the previous number of 56.000 % for 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Female data is updated yearly, averaging 57.000 % from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 58.000 % in 2009 and a record low of 56.000 % in 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+ data was reported at 60.000 % in 2015. This records an increase from the previous number of 59.000 % for 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+ data is updated yearly, averaging 60.000 % from Dec 2008 (Median) to 2015, with 8 observations. The data reached an all-time high of 63.000 % in 2008 and a record low of 59.000 % in 2014. Greenland GL: Employment To Population Ratio: National Estimate: Aged 15+ data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Greenland – Table GL.World Bank: Employment and Unemployment. Employment to population ratio is the proportion of a country's population that is employed. Employment is defined as persons of working age who, during a short reference period, were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period (i.e. who worked in a job for at least one hour) or not at work due to temporary absence from a job, or to working-time arrangements. Ages 15 and older are generally considered the working-age population.; ; International Labour Organization, ILOSTAT database. Data retrieved in November 2017.; Weighted Average; The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.

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.

GTEC Greenland Technologies Holding Corporation Ordinary Shares

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