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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, FL
Series ID MHICILBFL12063A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 PM 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 16713
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20334
1994-01-01 .
1995-01-01 21568
1996-01-01 .
1997-01-01 22847
1998-01-01 23890
1999-01-01 26539
2000-01-01 27531
2001-01-01 26765
2002-01-01 26991
2003-01-01 28083
2004-01-01 29076
2005-01-01 30598
2006-01-01 30690
2007-01-01 32595
2008-01-01 34545
2009-01-01 33746
2010-01-01 34201
2011-01-01 32397
2012-01-01 31959
2013-01-01 33708
2014-01-01 33612
2015-01-01 33341
2016-01-01 34492
2017-01-01 37686
2018-01-01 35777
2019-01-01 36572
2020-01-01 38191
2021-01-01 38664
2022-01-01 45942
2023-01-01 45563
2024-01-01 50202

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