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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Richmond County, GA
Series ID MHICILBGA13245A052NCEN
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 1:12 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 21310
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25103
1994-01-01 .
1995-01-01 25793
1996-01-01 .
1997-01-01 27333
1998-01-01 28187
1999-01-01 29140
2000-01-01 30224
2001-01-01 29443
2002-01-01 29279
2003-01-01 30222
2004-01-01 30780
2005-01-01 34128
2006-01-01 33319
2007-01-01 35142
2008-01-01 35433
2009-01-01 32555
2010-01-01 35752
2011-01-01 35037
2012-01-01 34724
2013-01-01 33499
2014-01-01 34150
2015-01-01 38909
2016-01-01 39430
2017-01-01 35917
2018-01-01 37735
2019-01-01 41917
2020-01-01 39978
2021-01-01 44122
2022-01-01 45717

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