Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Leon County, FL

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Leon County, FL
Series ID MHICILBFL12073A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2023-01-01
Last Updated 2024-12-20 2:33 AM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 25257
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29835
1994-01-01 .
1995-01-01 32275
1996-01-01 .
1997-01-01 34901
1998-01-01 36654
1999-01-01 35156
2000-01-01 36069
2001-01-01 35659
2002-01-01 35293
2003-01-01 35793
2004-01-01 37173
2005-01-01 40437
2006-01-01 40055
2007-01-01 46651
2008-01-01 45167
2009-01-01 38930
2010-01-01 40718
2011-01-01 42531
2012-01-01 43577
2013-01-01 44883
2014-01-01 42986
2015-01-01 44479
2016-01-01 49371
2017-01-01 50026
2018-01-01 49036
2019-01-01 52980
2020-01-01 57767
2021-01-01 54133
2022-01-01 58931
2023-01-01 62514

Subscribe to the FRED newsletter


Follow us

Back to Top