Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Polk County, GA
Series ID MHICIUBGA13233A052NCEN
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 3:12 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 23840
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27138
1994-01-01 .
1995-01-01 30520
1996-01-01 .
1997-01-01 32510
1998-01-01 34137
1999-01-01 33574
2000-01-01 35577
2001-01-01 34055
2002-01-01 34731
2003-01-01 35538
2004-01-01 36767
2005-01-01 39319
2006-01-01 39475
2007-01-01 40483
2008-01-01 42568
2009-01-01 40615
2010-01-01 39763
2011-01-01 39317
2012-01-01 40893
2013-01-01 41878
2014-01-01 42616
2015-01-01 43274
2016-01-01 46265
2017-01-01 47532
2018-01-01 48226
2019-01-01 53310
2020-01-01 58190
2021-01-01 54454
2022-01-01 61379
2023-01-01 62408

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