Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lowndes County, GA
Series ID MHICIUBGA13185A052NCEN
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 2:32 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 24562
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28569
1994-01-01 .
1995-01-01 31969
1996-01-01 .
1997-01-01 33382
1998-01-01 34418
1999-01-01 33351
2000-01-01 35114
2001-01-01 34095
2002-01-01 34269
2003-01-01 34867
2004-01-01 35423
2005-01-01 39326
2006-01-01 38458
2007-01-01 41693
2008-01-01 44078
2009-01-01 39953
2010-01-01 38885
2011-01-01 36646
2012-01-01 38987
2013-01-01 40015
2014-01-01 41963
2015-01-01 40881
2016-01-01 44127
2017-01-01 45472
2018-01-01 46111
2019-01-01 51099
2020-01-01 53312
2021-01-01 51280
2022-01-01 56066
2023-01-01 59102

Subscribe to the FRED newsletter


Follow us

Back to Top