Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Polk County, GA
Series ID MHICILBGA13233A052NCEN
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 19346
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22628
1994-01-01 .
1995-01-01 24384
1996-01-01 .
1997-01-01 26348
1998-01-01 28029
1999-01-01 29492
2000-01-01 30622
2001-01-01 29691
2002-01-01 30229
2003-01-01 31313
2004-01-01 32399
2005-01-01 33923
2006-01-01 34615
2007-01-01 35145
2008-01-01 35565
2009-01-01 35362
2010-01-01 33173
2011-01-01 33335
2012-01-01 34737
2013-01-01 35582
2014-01-01 35078
2015-01-01 35530
2016-01-01 38675
2017-01-01 39444
2018-01-01 39132
2019-01-01 42482
2020-01-01 43890
2021-01-01 43668
2022-01-01 48409
2023-01-01 50134

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