Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ben Hill County, GA
Series ID MHICILBGA13017A052NCEN
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 3:13 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 15921
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19791
1994-01-01 .
1995-01-01 21909
1996-01-01 .
1997-01-01 23027
1998-01-01 24139
1999-01-01 25426
2000-01-01 25973
2001-01-01 25161
2002-01-01 25288
2003-01-01 25795
2004-01-01 26263
2005-01-01 25863
2006-01-01 25848
2007-01-01 28673
2008-01-01 28138
2009-01-01 25800
2010-01-01 27092
2011-01-01 26440
2012-01-01 26576
2013-01-01 27281
2014-01-01 28413
2015-01-01 27750
2016-01-01 29207
2017-01-01 29766
2018-01-01 31163
2019-01-01 31653
2020-01-01 33555
2021-01-01 34989
2022-01-01 36728
2023-01-01 36345

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