Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Prairie County, AR
Series ID MHICIUBAR05117A052NCEN
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 21304
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24000
1994-01-01 .
1995-01-01 27406
1996-01-01 .
1997-01-01 29185
1998-01-01 31344
1999-01-01 31474
2000-01-01 32987
2001-01-01 31900
2002-01-01 31086
2003-01-01 32905
2004-01-01 33326
2005-01-01 35309
2006-01-01 34135
2007-01-01 38379
2008-01-01 37608
2009-01-01 38513
2010-01-01 40181
2011-01-01 39505
2012-01-01 39597
2013-01-01 42767
2014-01-01 43536
2015-01-01 43407
2016-01-01 44500
2017-01-01 47319
2018-01-01 47920
2019-01-01 50460
2020-01-01 55201
2021-01-01 64384
2022-01-01 57436
2023-01-01 61136

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