Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pike County, AR
Series ID MHICIUBAR05109A052NCEN
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 20090
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24491
1994-01-01 .
1995-01-01 28139
1996-01-01 .
1997-01-01 30043
1998-01-01 31507
1999-01-01 29687
2000-01-01 30822
2001-01-01 30212
2002-01-01 30008
2003-01-01 31087
2004-01-01 32574
2005-01-01 34331
2006-01-01 32808
2007-01-01 37287
2008-01-01 39902
2009-01-01 36333
2010-01-01 34153
2011-01-01 32395
2012-01-01 35683
2013-01-01 38896
2014-01-01 40309
2015-01-01 39872
2016-01-01 38059
2017-01-01 41291
2018-01-01 45637
2019-01-01 48187
2020-01-01 48957
2021-01-01 48937
2022-01-01 46283

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