Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calhoun County, FL
Series ID MHICILBFL12013A052NCEN
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 15381
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19140
1994-01-01 .
1995-01-01 20890
1996-01-01 .
1997-01-01 22222
1998-01-01 23280
1999-01-01 24522
2000-01-01 25018
2001-01-01 24401
2002-01-01 24365
2003-01-01 24921
2004-01-01 25773
2005-01-01 26051
2006-01-01 28547
2007-01-01 25884
2008-01-01 30409
2009-01-01 29553
2010-01-01 30857
2011-01-01 29207
2012-01-01 30297
2013-01-01 31006
2014-01-01 31845
2015-01-01 32548
2016-01-01 33089
2017-01-01 33579
2018-01-01 34417
2019-01-01 36614
2020-01-01 37735
2021-01-01 37872
2022-01-01 40877

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