Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pope County, AR
Series ID MHICILBAR05115A052NCEN
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 20613
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24004
1994-01-01 .
1995-01-01 27833
1996-01-01 .
1997-01-01 28400
1998-01-01 29300
1999-01-01 30042
2000-01-01 31197
2001-01-01 30517
2002-01-01 30397
2003-01-01 31059
2004-01-01 32103
2005-01-01 30962
2006-01-01 35231
2007-01-01 36032
2008-01-01 39053
2009-01-01 35813
2010-01-01 35878
2011-01-01 35072
2012-01-01 37317
2013-01-01 36791
2014-01-01 36685
2015-01-01 37227
2016-01-01 38786
2017-01-01 41515
2018-01-01 42075
2019-01-01 42767
2020-01-01 42524
2021-01-01 42063
2022-01-01 53002

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