Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Pike County, PA
Series ID MHICIUBPA42103A052NCEN
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 3:11 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 31626
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37959
1994-01-01 .
1995-01-01 42268
1996-01-01 .
1997-01-01 43003
1998-01-01 45986
1999-01-01 46321
2000-01-01 48823
2001-01-01 48511
2002-01-01 50583
2003-01-01 52260
2004-01-01 53703
2005-01-01 53944
2006-01-01 57735
2007-01-01 58579
2008-01-01 60915
2009-01-01 63101
2010-01-01 57494
2011-01-01 60641
2012-01-01 59106
2013-01-01 64601
2014-01-01 62920
2015-01-01 64414
2016-01-01 64456
2017-01-01 71896
2018-01-01 68528
2019-01-01 72458
2020-01-01 72772
2021-01-01 75223
2022-01-01 88411
2023-01-01 76540

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