Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Randolph County, GA
Series ID MHICILBGA13243A052NCEN
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 1:54 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 11434
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 14102
1994-01-01 .
1995-01-01 15041
1996-01-01 .
1997-01-01 17327
1998-01-01 18774
1999-01-01 20824
2000-01-01 21305
2001-01-01 20719
2002-01-01 20913
2003-01-01 21548
2004-01-01 22020
2005-01-01 21721
2006-01-01 21881
2007-01-01 23822
2008-01-01 25908
2009-01-01 23657
2010-01-01 24258
2011-01-01 25066
2012-01-01 25865
2013-01-01 25380
2014-01-01 22992
2015-01-01 27892
2016-01-01 29106
2017-01-01 27482
2018-01-01 26398
2019-01-01 30102
2020-01-01 30328
2021-01-01 30549
2022-01-01 34126

Subscribe to the FRED newsletter


Follow us

Back to Top