Graph and download economic data for Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) (ORLA712URN) from Jan 1990 to Jun 2025 about Orlando, FL, unemployment, rate, and USA.

Graph and download economic data for Unemployment Rate in Orange County, FL (FLORAN0URN) from Jan 1990 to Jun 2025 about Orange County, FL; Orlando; FL; unemployment; rate; and USA.

Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) was 3.40% in May of 2025, according to the United States Federal Reserve. Historically, Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) reached a record high of 21.70 in May of 2020 and a record low of 2.40 in December of 2022. Trading Economics provides the current actual value, an historical data chart and related indicators for Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) - last updated from the United States Federal Reserve on August of 2025.

Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) was 3.60% in May of 2025, according to the United States Federal Reserve. Historically, Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) reached a record high of 22.50 in May of 2020 and a record low of 2.30 in February of 2006. Trading Economics provides the current actual value, an historical data chart and related indicators for Orlando-Kissimmee, FL - Unemployment Rate in Orlando-Kissimmee-Sanford, FL (MSA) - last updated from the United States Federal Reserve on August of 2025.

Graph and download economic data for Unemployment Rate in Orange County, FL (LAUCN120950000000003A) from 1990 to 2024 about Orange County, FL; Orlando; FL; unemployment; rate; and USA.

Orlando Area Unemployment Rate: 35 years of historical data from 1990 to 2025.

Graph and download economic data for Unemployment Rate in Lake County, FL (FLLAKE4URN) from Jan 1990 to Jun 2025 about Lake County, FL; Orlando; FL; unemployment; rate; and USA.

Orlando-Kissimmee, FL - Unemployed in Orlando-Kissimmee-Sanford, FL (MSA) was 51825.00000 Persons in April of 2025, according to the United States Federal Reserve. Historically, Orlando-Kissimmee, FL - Unemployed in Orlando-Kissimmee-Sanford, FL (MSA) reached a record high of 298319.00000 in May of 2020 and a record low of 23300.00000 in December of 1999. Trading Economics provides the current actual value, an historical data chart and related indicators for Orlando-Kissimmee, FL - Unemployed in Orlando-Kissimmee-Sanford, FL (MSA) - last updated from the United States Federal Reserve on July of 2025.

In 2023, the unemployment rate in Florida was at 2.9 percent. This is a decrease from the previous year, when the unemployment rate stood at three percent.

The monthly unemployment rate for the United States can be accessed here.

Employment situation in Florida

The unemployment rate in Florida has risen and fallen over the last two decades from a low of 2.5 percent in 2006 to a high of 10.8 percent in 2010. Similarly, the unemployment rate in California reached a low of 4.2 percent in 2019 and a high of 12.5 percent in 2010. As of 2020, there were a total of 8.5 million non-farm employees in Florida, with 1.74 million people working in trade, transportation, and utilities industries and 1.31 million people employed in education and health services. During the same time, the employment to population ratio in the state totaled some 52.9 percent, in comparison to 63.7 percent in Iowa. The fluctuations in unemployment rates can vary due to both domestic and global factors. Locality, skill gap, labor unions, and job openings relative to unemployed numbers can influence monthly unemployment rates, while the outsourcing of jobs by American companies can impact the nation’s availability of jobs.

In Florida, the unemployment benefits program is named the Reemployment Assistance Program to emphasize the job search and reemployment services offered. To be eligible, you must have lost your job through no fault of your own, must be available to work and be actively seeking work, and must have a minimum amount of wages earned during a base period.

Graph and download economic data for Unemployment Rate in Seminole County, FL (FLSEMI0URN) from Jan 1990 to Jun 2025 about Seminole County, FL; Orlando; FL; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Seminole County, FL (LAUCN121170000000003A) from 1990 to 2024 about Seminole County, FL; Orlando; FL; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Osceola County, FL (LAUCN120970000000003A) from 1990 to 2024 about Osceola County, FL; Orlando; FL; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Osceola County, FL (FLOSCE7URN) from Jan 1990 to Jun 2025 about Osceola County, FL; Orlando; FL; unemployment; rate; and USA.

Graph and download economic data for Unemployment Rate in Lake County, FL (LAUCN120690000000003A) from 1990 to 2024 about Lake County, FL; Orlando; FL; unemployment; rate; and USA.

Graph and download economic data for Unemployed Persons in Orlando-Kissimmee-Sanford, FL (MSA) (LAUMT123674000000004) from Jan 1990 to Jun 2025 about Orlando, FL, persons, household survey, unemployment, and USA.

Graph and download economic data for Unemployed Persons in Orange County, FL (LAUCN120950000000004A) from 1990 to 2024 about Orange County, FL; Orlando; FL; household survey; unemployment; persons; and USA.

Background: The study analyzes the impact of public health spending on malnutrition among Peruvians, using data from the National Household Survey, the Central Reserve Bank of Peru, the National Institute of Statistics and Informatics and the Ministry of Economy and Finance from 2010. -2020. Previous studies have revealed the existing relationship of health spending with the reduction of malnutrition.

Methods: A quantitative approach is considered, with an explanatory type of research using panel data methodology considering the bidimensionality of the data, which allows quantifying this effect for the Peruvian case using the National Household Survey, data from the Central Reserve Bank of Peru, as well as information from the National Institute of Statistics and Informatics and the Transparency Portal of the Ministry of Economy and Finance in the period 2010-2020.

Results: The results show that public expenditure on health has a negative relationship with malnutrition; the rural sector has a positive relationship with malnutrition given the limitations present for access to adequate food. Similarly, the unemployment rate shows a positive relationship with malnutrition, given that being unemployed leads to a higher cause of malnutrition in the population, and the gross domestic product has a negative relationship with malnutrition, given that greater economic growth produces an impact on reducing malnutrition, with the greatest impact being on the rural population and the gross domestic product.

Conclusions: In the analysis period 2010-2020 in Peru, based on the panel data analysis, the impact of public health expenditure on reducing malnutrition is observed in 10 departments, achieving a reduction in malnutrition; while in 14 departments, this indicator has not been reduced.

Introduction: The fight against malnutrition remains one of the greatest social problems faced worldwide, explained by aspects related to poverty, inequality, education, culture, wages, employment, health, and others.

Objective: To analyze the impact of public health expenditure on the malnutrition of Peruvians during the years 2010-2020.

Methods: A quantitative approach is considered, with an explanatory type of research using panel data methodology considering the bidimensionality of the data, which allows quantifying this effect for the Peruvian case using the National Household Survey, data from the Central Reserve Bank of Peru, as well as information from the National Institute of Statistics and Informatics and the Transparency Portal of the Ministry of Economy and Finance in the period 2010-2020.

Results: The results show that public expenditure on health has a negative relationship with malnutrition; the rural sector has a positive relationship with malnutrition given the limitations present for access to adequate food. Similarly, the unemployment rate shows a positive relationship with malnutrition, given that being unemployed leads to a higher cause of malnutrition in the population, and the gross domestic product has a negative relationship with malnutrition, given that greater economic growth produces an impact on reducing malnutrition, with the greatest impact being on the rural population and the gross domestic product.

Conclusions: In the analysis period 2010-2020 in Peru, based on the panel data analysis, the impact of public health expenditure on reducing malnutrition is observed in 10 departments, achieving a reduction in malnutrition; while in 14 departments, this indicator has not been reduced.

Graph and download economic data for Unemployed Persons in Lake County, FL (LAUCN120690000000004) from Jan 1990 to Jun 2025 about Lake County, FL; Orlando; FL; household survey; unemployment; persons; and USA.

Graph and download economic data for Unemployed Persons in Seminole County, FL (LAUCN121170000000004) from Jan 1990 to Jun 2025 about Seminole County, FL; Orlando; FL; persons; household survey; unemployment; and USA.