Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Long County, GA
Series ID MHICIUBGA13183A052NCEN
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 1:11 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 22529
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25693
1994-01-01 .
1995-01-01 29025
1996-01-01 .
1997-01-01 30487
1998-01-01 31372
1999-01-01 30729
2000-01-01 32885
2001-01-01 31613
2002-01-01 31410
2003-01-01 31350
2004-01-01 34086
2005-01-01 36591
2006-01-01 37328
2007-01-01 40811
2008-01-01 42093
2009-01-01 40929
2010-01-01 41850
2011-01-01 38514
2012-01-01 42832
2013-01-01 44270
2014-01-01 46658
2015-01-01 46749
2016-01-01 48770
2017-01-01 52986
2018-01-01 49528
2019-01-01 56994
2020-01-01 62154
2021-01-01 61790
2022-01-01 76225

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