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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, FL
Series ID MHICILBFL12037A052NCEN
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 12948
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 17580
1994-01-01 .
1995-01-01 20377
1996-01-01 .
1997-01-01 20931
1998-01-01 22634
1999-01-01 24317
2000-01-01 25733
2001-01-01 25298
2002-01-01 25988
2003-01-01 27117
2004-01-01 28774
2005-01-01 28073
2006-01-01 29997
2007-01-01 31822
2008-01-01 31350
2009-01-01 30425
2010-01-01 31397
2011-01-01 31771
2012-01-01 35727
2013-01-01 30436
2014-01-01 33631
2015-01-01 34623
2016-01-01 33898
2017-01-01 35888
2018-01-01 35911
2019-01-01 43440
2020-01-01 40282
2021-01-01 39349
2022-01-01 47332
2023-01-01 48938
2024-01-01 52601

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