Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Hall County, GA
Series ID MHICIUBGA13139A052NCEN
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 2:32 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 29570
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34240
1994-01-01 .
1995-01-01 39551
1996-01-01 .
1997-01-01 41492
1998-01-01 43544
1999-01-01 45452
2000-01-01 48623
2001-01-01 47056
2002-01-01 46854
2003-01-01 47286
2004-01-01 48934
2005-01-01 50898
2006-01-01 49550
2007-01-01 54650
2008-01-01 56608
2009-01-01 52281
2010-01-01 49281
2011-01-01 52814
2012-01-01 52308
2013-01-01 50189
2014-01-01 55199
2015-01-01 58076
2016-01-01 58642
2017-01-01 64357
2018-01-01 64567
2019-01-01 71511
2020-01-01 73936
2021-01-01 73340
2022-01-01 80567
2023-01-01 83098

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