Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Liberty County, FL
Series ID MHICILBFL12077A052NCEN
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 1:54 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 16182
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21680
1994-01-01 .
1995-01-01 23680
1996-01-01 .
1997-01-01 24065
1998-01-01 26468
1999-01-01 26592
2000-01-01 27042
2001-01-01 26837
2002-01-01 27068
2003-01-01 27867
2004-01-01 28457
2005-01-01 29007
2006-01-01 30858
2007-01-01 33190
2008-01-01 34634
2009-01-01 32937
2010-01-01 34267
2011-01-01 33681
2012-01-01 34740
2013-01-01 33068
2014-01-01 35507
2015-01-01 35663
2016-01-01 34646
2017-01-01 36785
2018-01-01 36296
2019-01-01 38976
2020-01-01 40235
2021-01-01 43614
2022-01-01 43637

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