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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jefferson County, FL
Series ID MHICILBFL12065A052NCEN
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 15157
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20661
1994-01-01 .
1995-01-01 23415
1996-01-01 .
1997-01-01 24693
1998-01-01 26522
1999-01-01 29207
2000-01-01 30552
2001-01-01 30117
2002-01-01 30020
2003-01-01 30739
2004-01-01 31875
2005-01-01 32049
2006-01-01 35621
2007-01-01 36299
2008-01-01 33263
2009-01-01 34404
2010-01-01 36267
2011-01-01 36378
2012-01-01 34580
2013-01-01 35729
2014-01-01 36328
2015-01-01 37908
2016-01-01 38754
2017-01-01 43772
2018-01-01 41292
2019-01-01 41699
2020-01-01 47100
2021-01-01 50771
2022-01-01 50379
2023-01-01 52518
2024-01-01 57391

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