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The current value of the Claimant Count Change in United Kingdom is 102,300 . The Claimant Count Change in United Kingdom increased to 102,300 on 7/1/2024, after it was 36,200 on 6/1/2024. From 2/1/1971 to 8/1/2024, the average GDP in United Kingdom was 1,956.92 . The all-time high was reached on 4/1/2020 with 860,500 , while the lowest value was recorded on 6/1/2021 with -171,800 .
Claimant Count Change ·
3 years
5 years
10 years
25 Years
Max
Change in Jobless Claims | |
---|---|
2/1/1971 | 18,700 |
3/1/1971 | 21,200 |
4/1/1971 | 25,600 |
5/1/1971 | 42,600 |
6/1/1971 | 13,500 |
7/1/1971 | 7,700 |
8/1/1971 | 1,200 |
9/1/1971 | 19,900 |
10/1/1971 | 31,800 |
11/1/1971 | 31,800 |
12/1/1971 | 10,100 |
2/1/1972 | 14,400 |
3/1/1972 | 11,100 |
9/1/1972 | 4,000 |
1/1/1974 | 46,100 |
2/1/1974 | 17,900 |
3/1/1974 | 8,200 |
4/1/1974 | 2,600 |
6/1/1974 | 14,600 |
7/1/1974 | 1,900 |
8/1/1974 | 19,400 |
9/1/1974 | 4,100 |
10/1/1974 | 5,400 |
11/1/1974 | 5,200 |
12/1/1974 | 13,600 |
1/1/1975 | 29,300 |
2/1/1975 | 21,300 |
3/1/1975 | 32,600 |
4/1/1975 | 41,700 |
5/1/1975 | 51,000 |
6/1/1975 | 39,800 |
7/1/1975 | 44,500 |
8/1/1975 | 27,100 |
9/1/1975 | 31,200 |
10/1/1975 | 57,400 |
11/1/1975 | 35,700 |
12/1/1975 | 27,000 |
1/1/1976 | 24,900 |
2/1/1976 | 20,300 |
3/1/1976 | 13,300 |
4/1/1976 | 14,500 |
5/1/1976 | 18,100 |
7/1/1976 | 7,500 |
8/1/1976 | 14,600 |
11/1/1976 | 7,300 |
12/1/1976 | 3,700 |
1/1/1977 | 2,300 |
3/1/1977 | 500 |
4/1/1977 | 9,700 |
5/1/1977 | 2,100 |
6/1/1977 | 29,600 |
7/1/1977 | 20,500 |
8/1/1977 | 2,900 |
9/1/1977 | 20,900 |
8/1/1978 | 10,000 |
1/1/1979 | 5,300 |
2/1/1979 | 20,300 |
10/1/1979 | 9,000 |
12/1/1979 | 11,100 |
1/1/1980 | 16,700 |
2/1/1980 | 35,200 |
3/1/1980 | 29,100 |
4/1/1980 | 47,200 |
5/1/1980 | 38,800 |
6/1/1980 | 50,800 |
7/1/1980 | 62,900 |
8/1/1980 | 96,700 |
9/1/1980 | 70,100 |
10/1/1980 | 88,000 |
11/1/1980 | 110,200 |
12/1/1980 | 87,600 |
1/1/1981 | 64,900 |
2/1/1981 | 68,900 |
3/1/1981 | 73,100 |
4/1/1981 | 63,800 |
5/1/1981 | 62,600 |
6/1/1981 | 46,400 |
7/1/1981 | 46,500 |
8/1/1981 | 37,900 |
9/1/1981 | 41,100 |
10/1/1981 | 37,400 |
11/1/1981 | 34,600 |
12/1/1981 | 18,700 |
1/1/1982 | 29,500 |
2/1/1982 | 12,700 |
3/1/1982 | 10,000 |
4/1/1982 | 28,500 |
5/1/1982 | 14,400 |
6/1/1982 | 30,500 |
7/1/1982 | 29,200 |
8/1/1982 | 26,300 |
9/1/1982 | 28,300 |
10/1/1982 | 33,300 |
11/1/1982 | 26,600 |
12/1/1982 | 31,100 |
1/1/1983 | 17,300 |
2/1/1983 | 8,800 |
3/1/1983 | 23,600 |
4/1/1983 | 16,200 |
5/1/1983 | 16,900 |
6/1/1983 | 23,400 |
7/1/1983 | 2,700 |
9/1/1983 | 13,800 |
10/1/1983 | 4,700 |
11/1/1983 | 9,000 |
12/1/1983 | 12,200 |
1/1/1984 | 10,000 |
2/1/1984 | 23,000 |
3/1/1984 | 11,000 |
5/1/1984 | 16,400 |
6/1/1984 | 4,600 |
7/1/1984 | 16,400 |
8/1/1984 | 8,800 |
9/1/1984 | 31,300 |
10/1/1984 | 11,600 |
11/1/1984 | 12,500 |
12/1/1984 | 6,600 |
1/1/1985 | 9,200 |
2/1/1985 | 17,900 |
4/1/1985 | 21,200 |
5/1/1985 | 2,400 |
7/1/1985 | 6,600 |
8/1/1985 | 2,400 |
9/1/1985 | 7,300 |
10/1/1985 | 6,500 |
11/1/1985 | 1,300 |
12/1/1985 | 20,800 |
1/1/1986 | 11,100 |
2/1/1986 | 8,700 |
3/1/1986 | 32,900 |
5/1/1986 | 8,100 |
6/1/1986 | 1,400 |
7/1/1986 | 4,200 |
6/1/1990 | 16,800 |
7/1/1990 | 22,700 |
8/1/1990 | 28,200 |
9/1/1990 | 45,300 |
10/1/1990 | 45,400 |
11/1/1990 | 47,600 |
12/1/1990 | 73,000 |
1/1/1991 | 24,600 |
2/1/1991 | 89,800 |
3/1/1991 | 118,700 |
4/1/1991 | 64,000 |
5/1/1991 | 62,300 |
6/1/1991 | 68,800 |
7/1/1991 | 66,600 |
8/1/1991 | 50,000 |
9/1/1991 | 43,600 |
10/1/1991 | 35,200 |
11/1/1991 | 34,700 |
12/1/1991 | 31,100 |
1/1/1992 | 28,500 |
2/1/1992 | 44,700 |
3/1/1992 | 27,000 |
4/1/1992 | 28,900 |
5/1/1992 | 31,700 |
6/1/1992 | 14,400 |
7/1/1992 | 22,100 |
8/1/1992 | 44,500 |
9/1/1992 | 30,000 |
10/1/1992 | 40,700 |
11/1/1992 | 40,500 |
12/1/1992 | 71,400 |
4/1/1993 | 2,400 |
1/1/1994 | 1,200 |
10/1/1995 | 4,800 |
2/1/1996 | 6,800 |
11/1/1998 | 3,400 |
1/1/2000 | 3,600 |
10/1/2001 | 6,900 |
11/1/2001 | 6,700 |
12/1/2001 | 6,800 |
4/1/2002 | 7,400 |
6/1/2002 | 2,600 |
7/1/2002 | 300 |
1/1/2003 | 4,100 |
2/1/2003 | 3,200 |
5/1/2003 | 11,100 |
3/1/2005 | 8,400 |
4/1/2005 | 10,200 |
5/1/2005 | 13,800 |
6/1/2005 | 9,100 |
7/1/2005 | 3,500 |
8/1/2005 | 1,500 |
9/1/2005 | 7,900 |
10/1/2005 | 12,100 |
11/1/2005 | 12,700 |
12/1/2005 | 7,200 |
1/1/2006 | 5,400 |
2/1/2006 | 10,300 |
3/1/2006 | 12,000 |
4/1/2006 | 9,600 |
5/1/2006 | 5,400 |
6/1/2006 | 4,900 |
7/1/2006 | 1,000 |
9/1/2006 | 6,700 |
10/1/2006 | 400 |
3/1/2008 | 100 |
4/1/2008 | 13,900 |
5/1/2008 | 22,300 |
6/1/2008 | 34,000 |
7/1/2008 | 34,000 |
8/1/2008 | 42,200 |
9/1/2008 | 43,700 |
10/1/2008 | 43,700 |
11/1/2008 | 88,100 |
12/1/2008 | 79,000 |
1/1/2009 | 61,400 |
2/1/2009 | 142,800 |
3/1/2009 | 73,500 |
4/1/2009 | 53,700 |
5/1/2009 | 38,600 |
6/1/2009 | 22,500 |
7/1/2009 | 13,900 |
8/1/2009 | 15,000 |
9/1/2009 | 8,900 |
10/1/2009 | 8,800 |
1/1/2010 | 15,600 |
11/1/2010 | 1,400 |
12/1/2010 | 1,600 |
1/1/2011 | 7,800 |
3/1/2011 | 5,000 |
4/1/2011 | 21,200 |
5/1/2011 | 15,700 |
6/1/2011 | 19,100 |
7/1/2011 | 35,600 |
8/1/2011 | 21,600 |
9/1/2011 | 19,300 |
11/1/2011 | 3,500 |
12/1/2011 | 2,600 |
1/1/2012 | 8,100 |
5/1/2012 | 2,900 |
6/1/2012 | 3,800 |
10/1/2012 | 8,500 |
3/1/2016 | 8,000 |
5/1/2016 | 2,100 |
6/1/2016 | 5,100 |
8/1/2016 | 4,600 |
9/1/2016 | 2,900 |
10/1/2016 | 3,400 |
11/1/2016 | 4,200 |
3/1/2017 | 14,500 |
4/1/2017 | 8,900 |
5/1/2017 | 3,400 |
6/1/2017 | 1,800 |
7/1/2017 | 300 |
8/1/2017 | 400 |
9/1/2017 | 2,800 |
10/1/2017 | 3,500 |
11/1/2017 | 7,400 |
12/1/2017 | 12,500 |
1/1/2018 | 8,900 |
2/1/2018 | 9,900 |
3/1/2018 | 11,900 |
4/1/2018 | 11,600 |
5/1/2018 | 13,900 |
6/1/2018 | 1,300 |
7/1/2018 | 10,800 |
8/1/2018 | 11,900 |
9/1/2018 | 22,300 |
10/1/2018 | 24,700 |
11/1/2018 | 22,200 |
12/1/2018 | 27,200 |
1/1/2019 | 18,600 |
2/1/2019 | 20,600 |
3/1/2019 | 19,700 |
4/1/2019 | 20,100 |
5/1/2019 | 17,500 |
6/1/2019 | 29,600 |
7/1/2019 | 16,500 |
8/1/2019 | 20,300 |
9/1/2019 | 19,900 |
10/1/2019 | 28,000 |
11/1/2019 | 21,000 |
12/1/2019 | 7,900 |
3/1/2020 | 2,300 |
4/1/2020 | 860,500 |
5/1/2020 | 566,900 |
7/1/2020 | 60,300 |
8/1/2020 | 46,200 |
11/1/2020 | 41,700 |
2/1/2021 | 77,800 |
8/1/2022 | 800 |
9/1/2022 | 4,800 |
11/1/2022 | 10,900 |
12/1/2022 | 7,500 |
3/1/2023 | 12,000 |
4/1/2023 | 36,100 |
6/1/2023 | 12,500 |
7/1/2023 | 11,300 |
9/1/2023 | 6,900 |
10/1/2023 | 9,000 |
11/1/2023 | 5,300 |
12/1/2023 | 4,000 |
1/1/2024 | 4,000 |
2/1/2024 | 6,300 |
4/1/2024 | 8,400 |
5/1/2024 | 51,900 |
6/1/2024 | 36,200 |
7/1/2024 | 102,300 |
Claimant Count Change History
Date | Value |
---|---|
7/1/2024 | 102,300 |
6/1/2024 | 36,200 |
5/1/2024 | 51,900 |
4/1/2024 | 8,400 |
2/1/2024 | 6,300 |
1/1/2024 | 4,000 |
12/1/2023 | 4,000 |
11/1/2023 | 5,300 |
10/1/2023 | 9,000 |
9/1/2023 | 6,900 |
Similar Macro Indicators to Claimant Count Change
Name | Current | Previous | Frequency |
---|---|---|---|
🇬🇧 Average earnings excluding bonus | 5.1 % | 5.4 % | Monthly |
🇬🇧 Average Weekly Hours | 31.9 Hours | 31.9 Hours | Monthly |
🇬🇧 Employed persons | 33.232 M | 33.094 M | Monthly |
🇬🇧 Employment Change | 373,000 | 265,000 | Monthly |
🇬🇧 Employment rate | 75 % | 74.8 % | Monthly |
🇬🇧 Full-time employment | 24.901 M | 24.909 M | Monthly |
🇬🇧 Inactivity Rate | 21.8 % | 21.9 % | Monthly |
🇬🇧 Job Opportunities | 841,000 | 856,000 | Monthly |
🇬🇧 Labor costs | 122.3 points | 121 points | Quarter |
🇬🇧 Labor force participation rate | 78.1 % | 77.8 % | Monthly |
🇬🇧 Minimum Wages | 11.44 GBP/Hour | 10.42 GBP/Hour | Annually |
🇬🇧 Non-farm Payrolls | -58,569 | -6,195 | Monthly |
🇬🇧 Part-time work | 8.291 M | 8.208 M | Monthly |
🇬🇧 Population | 67.6 M | 66.98 M | Annually |
🇬🇧 Productivity | 101.8 points | 102 points | Quarter |
🇬🇧 Real Earnings Excluding Bonuses | 1.9 % | 2.3 % | Monthly |
🇬🇧 Real Earnings Including Bonuses | 0.8 % | 0.3 % | Monthly |
🇬🇧 Retirement Age Men | 66 Years | 66 Years | Annually |
🇬🇧 Retirement Age Women | 66 Years | 66 Years | Annually |
🇬🇧 Unemployed Persons | 1.629 M | 1.578 M | Monthly |
🇬🇧 Unemployment Rate | 4.4 % | 4.3 % | Monthly |
🇬🇧 Wage Growth | 3.8 % | 4.1 % | Monthly |
🇬🇧 Wages | 693 GBP/Week | 690 GBP/Week | Monthly |
🇬🇧 Wages in Manufacturing | 764 GBP/Week | 759 GBP/Week | Monthly |
🇬🇧 Youth Unemployment Rate | 12.8 % | 13.3 % | Monthly |
Claimant Count Change in the United Kingdom measures the variation in the number of individuals receiving unemployment-related benefits.
Macro pages for other countries in Europe
- 🇦🇱Albania
- 🇦🇹Austria
- 🇧🇾Belarus
- 🇧🇪Belgium
- 🇧🇦Bosnia and Herzegovina
- 🇧🇬Bulgaria
- 🇭🇷Croatia
- 🇨🇾Cyprus
- 🇨🇿Czech Republic
- 🇩🇰Denmark
- 🇪🇪Estonia
- 🇫🇴Faroe Islands
- 🇫🇮Finland
- 🇫🇷France
- 🇩🇪Germany
- 🇬🇷Greece
- 🇭🇺Hungary
- 🇮🇸Island
- 🇮🇪Ireland
- 🇮🇹Italy
- 🇽🇰Kosovo
- 🇱🇻Latvia
- 🇱🇮Liechtenstein
- 🇱🇹Lithuania
- 🇱🇺Luxembourg
- 🇲🇰North Macedonia
- 🇲🇹Malta
- 🇲🇩Moldova
- 🇲🇨Monaco
- 🇲🇪Montenegro
- 🇳🇱Netherlands
- 🇳🇴Norway
- 🇵🇱Poland
- 🇵🇹Portugal
- 🇷🇴Romania
- 🇷🇺Russia
- 🇷🇸Serbia
- 🇸🇰Slovakia
- 🇸🇮Slovenia
- 🇪🇸Spain
- 🇸🇪Sweden
- 🇨🇭Switzerland
- 🇺🇦Ukraine
- 🇦🇩Andorra
What is Claimant Count Change?
Claimant Count Change: An Essential Indicator of Economic Health The 'Claimant Count Change' represents a crucial metric within the realm of macroeconomics, serving as one of the key indicators utilized by economists, policymakers, and financial analysts to gauge the health of an economy. At Eulerpool, we specialize in offering comprehensive macroeconomic data, and our focus on the Claimant Count Change underscores its importance in providing insight into labor market dynamics and overall economic vitality. The Claimant Count Change measures the variation in the number of people claiming unemployment-related benefits from one period to the next. Typically, this data is reported on a monthly basis, allowing for timely and relevant assessments of unemployment trends. The figure is often scrutinized alongside other labor market indicators such as unemployment rates, labor force participation rates, and job vacancy data to present a fuller picture of economic conditions. One of the primary reasons the Claimant Count Change is monitored closely is due to its sensitivity to economic fluctuations. When the economy experiences growth, businesses expand, and the job market strengthens, typically leading to a decline in the number of claimants. Conversely, during economic downturns, businesses may reduce their workforce, leading to an increase in claimants. Thus, fluctuations in the Claimant Count Change can act as a barometer for economic health. From a policy perspective, the Claimant Count Change is instrumental in advising governments on necessary interventions. Significant increases in claimant numbers may prompt the implementation of job creation programs, unemployment benefits extensions, or other supportive measures aimed at stabilizing the economic environment. For instance, during the economic challenges presented by the COVID-19 pandemic, many countries witnessed unprecedented spikes in claimant counts, prompting massive governmental fiscal and monetary responses. Investors and financial market participants also keep a keen eye on the Claimant Count Change as it provides forward-looking insights into economic trends. A rising claimant count can signal potential economic distress, potentially leading to cautious investor behavior, changes in stock market valuations, and adjustments in corporate earnings forecasts. Conversely, a declining claimant count may boost investor confidence by suggesting economic resilience and growth potential. Moreover, businesses use the Claimant Count Change to inform strategic planning and workforce management decisions. For instance, sectors directly affected by consumer spending might align their production schedules, staffing levels, and inventory controls with trends indicated by the claimant data. Similarly, human resource departments might leverage this information to anticipate changes in recruitment needs or to design more effective employee retention strategies. Understanding the underlying factors that drive changes in the claimant count is also critical. Economic shifts influenced by technological advancements, globalization, and policy reforms can all manifest through claimant variations. For example, technological disruption might lead to job displacement in certain industries, thereby increasing the claimant count in the short term, even as it creates new opportunities in others. Analyzing these drivers is essential for forming a nuanced understanding of economic conditions and trends. At Eulerpool, our commitment is to provide detailed and accurate data on Claimant Count Change, ensuring our audience has access to the most insightful, up-to-date information. By presenting this data in a comprehensive and accessible manner, we empower users to make informed decisions, whether they are policymakers shaping the future of employment policies, investors assessing market conditions, or businesses strategizing for their next phase of growth. In addition to monthly reports, Eulerpool offers historical data analysis to identify long-term trends and cyclical patterns within the claimant count. This historical perspective is invaluable for understanding the periodic nature of economic cycles and for making more informed predictions about future developments. By analyzing past data, one can discern the typical duration of economic expansions and contractions, the responsiveness of claimant counts to various economic stimuli, and potential lead-lag relationships between claimant counts and other economic indicators. Furthermore, Eulerpool places a strong emphasis on data accuracy and integrity, a commitment that is fundamental to our role as a trusted provider of macroeconomic data. Each data point is meticulously gathered, verified, and presented with the utmost precision to ensure that our users receive reliable information. This commitment to accuracy extends to our methodologies for data collection and analysis, which are designed to adhere to the highest standards of economic research. Another dimension of the Claimant Count Change that deserves attention is its regional variability. Economic conditions are often not uniform across different regions of a country, and local factors can significantly influence claimant counts in specific areas. Regional data allows for targeted analysis and more effective policy interventions. For example, an area experiencing a decline in a key industry might see a more pronounced increase in its claimant count than the national average, necessitating targeted economic support measures. To complement our role as a data provider, Eulerpool also offers analytical tools and expert insights that aid in interpreting the Claimant Count Change data. Our platform features user-friendly visualization tools that enable users to quickly compare data across different time frames, regions, or demographic groups. Additionally, our team of economic analysts provides expert commentary, highlighting significant trends, contextual factors, and potential implications of changes in the claimant count. In conclusion, the Claimant Count Change is a pivotal economic indicator with far-reaching implications across various facets of economic analysis and decision-making. At Eulerpool, we are dedicated to delivering high-quality, accurate data on this important indicator, coupled with the tools and insights needed to understand its significance fully. Whether you're a policymaker, investor, business leader, or academic, our resources are designed to help you navigate the complex landscape of economic data and make well-informed decisions that contribute to economic resilience and growth. Eulerpool's comprehensive approach to providing data on Claimant Count Change ensures that our users remain well-informed about the labor market dynamics and broader economic conditions. By continually updating our data and refining our analytical tools, we strive to be your trusted partner in navigating the ever-evolving economic environment.