Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Pike County, AR
Series ID MHICILBAR05109A052NCEN
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 1:54 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 15561
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19968
1994-01-01 .
1995-01-01 22104
1996-01-01 .
1997-01-01 23887
1998-01-01 25457
1999-01-01 26017
2000-01-01 26555
2001-01-01 26328
2002-01-01 26139
2003-01-01 27375
2004-01-01 28695
2005-01-01 29070
2006-01-01 28059
2007-01-01 30498
2008-01-01 35187
2009-01-01 30324
2010-01-01 28985
2011-01-01 27713
2012-01-01 30605
2013-01-01 32288
2014-01-01 33477
2015-01-01 32660
2016-01-01 31583
2017-01-01 33695
2018-01-01 37431
2019-01-01 40665
2020-01-01 37309
2021-01-01 38483
2022-01-01 36413

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