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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Liberty County, FL
Series ID MHICIUBFL12077A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 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 21078
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26199
1994-01-01 .
1995-01-01 29864
1996-01-01 .
1997-01-01 30274
1998-01-01 32639
1999-01-01 30601
2000-01-01 31690
2001-01-01 31025
2002-01-01 31353
2003-01-01 31919
2004-01-01 32584
2005-01-01 34785
2006-01-01 37117
2007-01-01 40326
2008-01-01 42583
2009-01-01 40680
2010-01-01 41363
2011-01-01 41211
2012-01-01 40712
2013-01-01 40054
2014-01-01 41439
2015-01-01 43583
2016-01-01 43154
2017-01-01 45831
2018-01-01 45332
2019-01-01 49496
2020-01-01 53233
2021-01-01 52928
2022-01-01 55391

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