Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Colquitt County, GA
Series ID MHICILBGA13071A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 17148
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19995
1994-01-01 .
1995-01-01 21750
1996-01-01 .
1997-01-01 22925
1998-01-01 24255
1999-01-01 25647
2000-01-01 26531
2001-01-01 25645
2002-01-01 25261
2003-01-01 25969
2004-01-01 26233
2005-01-01 26732
2006-01-01 27328
2007-01-01 30269
2008-01-01 30813
2009-01-01 28348
2010-01-01 29796
2011-01-01 28019
2012-01-01 29776
2013-01-01 30466
2014-01-01 30889
2015-01-01 31093
2016-01-01 31822
2017-01-01 33544
2018-01-01 35306
2019-01-01 37426
2020-01-01 35762
2021-01-01 39655
2022-01-01 43972
2023-01-01 43830

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