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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rockdale County, GA
Series ID MHICILBGA13247A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:10 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 36183
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 40626
1994-01-01 .
1995-01-01 43889
1996-01-01 .
1997-01-01 45576
1998-01-01 46136
1999-01-01 46939
2000-01-01 48869
2001-01-01 48565
2002-01-01 47654
2003-01-01 47554
2004-01-01 47716
2005-01-01 49195
2006-01-01 51450
2007-01-01 52616
2008-01-01 54330
2009-01-01 47620
2010-01-01 49870
2011-01-01 48316
2012-01-01 47759
2013-01-01 47410
2014-01-01 45162
2015-01-01 48620
2016-01-01 54172
2017-01-01 54568
2018-01-01 55546
2019-01-01 55190
2020-01-01 55993
2021-01-01 59886
2022-01-01 66511
2023-01-01 69097
2024-01-01 71992

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