Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lumpkin County, GA
Series ID MHICILBGA13187A052NCEN
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 3:14 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 22055
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27930
1994-01-01 .
1995-01-01 30967
1996-01-01 .
1997-01-01 32501
1998-01-01 34540
1999-01-01 35350
2000-01-01 36804
2001-01-01 36102
2002-01-01 36115
2003-01-01 37118
2004-01-01 38435
2005-01-01 37628
2006-01-01 40404
2007-01-01 42358
2008-01-01 41819
2009-01-01 41484
2010-01-01 40836
2011-01-01 40173
2012-01-01 40223
2013-01-01 38940
2014-01-01 40463
2015-01-01 43979
2016-01-01 42310
2017-01-01 50276
2018-01-01 49607
2019-01-01 51041
2020-01-01 54547
2021-01-01 57412
2022-01-01 65192
2023-01-01 65682

Subscribe to the FRED newsletter


Follow us

Back to Top