Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pulaski County, GA
Series ID MHICILBGA13235A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:54 PM 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 18619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22668
1994-01-01 .
1995-01-01 23461
1996-01-01 .
1997-01-01 25997
1998-01-01 26947
1999-01-01 28335
2000-01-01 29531
2001-01-01 29015
2002-01-01 28875
2003-01-01 29449
2004-01-01 29849
2005-01-01 30214
2006-01-01 31090
2007-01-01 35495
2008-01-01 31584
2009-01-01 31540
2010-01-01 33499
2011-01-01 31277
2012-01-01 32328
2013-01-01 33461
2014-01-01 33797
2015-01-01 35940
2016-01-01 32711
2017-01-01 35492
2018-01-01 36892
2019-01-01 37242
2020-01-01 37120
2021-01-01 40473
2022-01-01 41074

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