Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Charlton County, GA
Series ID MHICILBGA13049A052NCEN
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 3:13 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 17360
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21717
1994-01-01 .
1995-01-01 23835
1996-01-01 .
1997-01-01 24243
1998-01-01 25033
1999-01-01 25624
2000-01-01 26401
2001-01-01 25455
2002-01-01 24618
2003-01-01 26443
2004-01-01 27272
2005-01-01 26188
2006-01-01 29530
2007-01-01 36310
2008-01-01 32020
2009-01-01 31857
2010-01-01 29216
2011-01-01 28346
2012-01-01 29406
2013-01-01 31928
2014-01-01 30705
2015-01-01 33246
2016-01-01 34934
2017-01-01 36268
2018-01-01 36639
2019-01-01 38002
2020-01-01 39118
2021-01-01 41588
2022-01-01 42042
2023-01-01 45714

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