Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Richmond County, GA
Series ID MHICIUBGA13245A052NCEN
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 1:11 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 25673
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29486
1994-01-01 .
1995-01-01 31593
1996-01-01 .
1997-01-01 33329
1998-01-01 34132
1999-01-01 33150
2000-01-01 35021
2001-01-01 33726
2002-01-01 33547
2003-01-01 34243
2004-01-01 34898
2005-01-01 38454
2006-01-01 36953
2007-01-01 38746
2008-01-01 40012
2009-01-01 36550
2010-01-01 39980
2011-01-01 39667
2012-01-01 38256
2013-01-01 38639
2014-01-01 37874
2015-01-01 42733
2016-01-01 42826
2017-01-01 40677
2018-01-01 42601
2019-01-01 47703
2020-01-01 47906
2021-01-01 51510
2022-01-01 54441

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