Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ware County, GA
Series ID MHICILBGA13299A052NCEN
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 1:12 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 17309
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20324
1994-01-01 .
1995-01-01 22788
1996-01-01 .
1997-01-01 22915
1998-01-01 23691
1999-01-01 25383
2000-01-01 26498
2001-01-01 25825
2002-01-01 26063
2003-01-01 26847
2004-01-01 27649
2005-01-01 27436
2006-01-01 29208
2007-01-01 31281
2008-01-01 31883
2009-01-01 28288
2010-01-01 31043
2011-01-01 28351
2012-01-01 30286
2013-01-01 29553
2014-01-01 31122
2015-01-01 31945
2016-01-01 31341
2017-01-01 35160
2018-01-01 34450
2019-01-01 33686
2020-01-01 34696
2021-01-01 38543
2022-01-01 44318

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