Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Laurens County, GA
Series ID MHICIUBGA13175A052NCEN
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 2:02 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 23877
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27840
1994-01-01 .
1995-01-01 30285
1996-01-01 .
1997-01-01 32023
1998-01-01 32675
1999-01-01 32666
2000-01-01 34837
2001-01-01 33721
2002-01-01 33855
2003-01-01 34373
2004-01-01 35345
2005-01-01 38901
2006-01-01 38170
2007-01-01 39025
2008-01-01 42017
2009-01-01 39277
2010-01-01 39190
2011-01-01 37408
2012-01-01 38056
2013-01-01 37043
2014-01-01 39263
2015-01-01 40333
2016-01-01 42152
2017-01-01 40640
2018-01-01 45974
2019-01-01 45321
2020-01-01 53682
2021-01-01 51562
2022-01-01 52781
2023-01-01 62421

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