Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Jones County, GA
Series ID MHICIUBGA13169A052NCEN
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 1:53 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 33437
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37753
1994-01-01 .
1995-01-01 39613
1996-01-01 .
1997-01-01 42218
1998-01-01 44639
1999-01-01 43604
2000-01-01 47080
2001-01-01 46024
2002-01-01 45815
2003-01-01 46512
2004-01-01 48035
2005-01-01 49041
2006-01-01 49320
2007-01-01 55230
2008-01-01 56543
2009-01-01 54439
2010-01-01 56124
2011-01-01 53570
2012-01-01 56513
2013-01-01 56693
2014-01-01 56759
2015-01-01 56375
2016-01-01 59547
2017-01-01 61575
2018-01-01 61795
2019-01-01 59996
2020-01-01 73785
2021-01-01 68209
2022-01-01 72840

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