Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Laurens County, GA
Series ID MHICILBGA13175A052NCEN
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 19372
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23267
1994-01-01 .
1995-01-01 24155
1996-01-01 .
1997-01-01 25861
1998-01-01 26575
1999-01-01 28698
2000-01-01 29999
2001-01-01 29400
2002-01-01 29503
2003-01-01 30315
2004-01-01 31162
2005-01-01 33148
2006-01-01 34262
2007-01-01 33158
2008-01-01 35334
2009-01-01 33675
2010-01-01 33946
2011-01-01 32322
2012-01-01 31764
2013-01-01 30905
2014-01-01 32351
2015-01-01 33587
2016-01-01 35922
2017-01-01 35516
2018-01-01 38254
2019-01-01 38715
2020-01-01 39698
2021-01-01 44248
2022-01-01 43055
2023-01-01 51313

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