Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Greene County, AR
Series ID MHICIUBAR05055A052NCEN
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 22582
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26451
1994-01-01 .
1995-01-01 31230
1996-01-01 .
1997-01-01 32992
1998-01-01 34678
1999-01-01 33214
2000-01-01 34273
2001-01-01 33256
2002-01-01 33581
2003-01-01 35130
2004-01-01 36202
2005-01-01 37209
2006-01-01 38029
2007-01-01 40788
2008-01-01 39560
2009-01-01 41099
2010-01-01 38843
2011-01-01 41138
2012-01-01 42097
2013-01-01 44463
2014-01-01 46281
2015-01-01 47319
2016-01-01 49125
2017-01-01 50037
2018-01-01 51120
2019-01-01 51752
2020-01-01 59440
2021-01-01 57137
2022-01-01 59138

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