Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lowndes County, GA
Series ID MHICILBGA13185A052NCEN
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 2:33 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 20044
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24048
1994-01-01 .
1995-01-01 25814
1996-01-01 .
1997-01-01 27192
1998-01-01 28295
1999-01-01 29274
2000-01-01 30220
2001-01-01 29718
2002-01-01 29844
2003-01-01 30749
2004-01-01 31279
2005-01-01 35725
2006-01-01 33992
2007-01-01 35640
2008-01-01 38341
2009-01-01 36333
2010-01-01 34087
2011-01-01 31858
2012-01-01 34853
2013-01-01 34261
2014-01-01 35811
2015-01-01 34517
2016-01-01 38535
2017-01-01 38566
2018-01-01 37529
2019-01-01 41801
2020-01-01 44416
2021-01-01 41850
2022-01-01 49180
2023-01-01 50866

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