Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mifflin County, PA
Series ID MHICILBPA42087A052NCEN
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 3:13 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 20817
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23939
1994-01-01 .
1995-01-01 25285
1996-01-01 .
1997-01-01 27306
1998-01-01 29001
1999-01-01 30128
2000-01-01 31141
2001-01-01 30534
2002-01-01 30739
2003-01-01 32000
2004-01-01 33206
2005-01-01 30447
2006-01-01 32636
2007-01-01 34418
2008-01-01 35304
2009-01-01 35460
2010-01-01 34571
2011-01-01 36367
2012-01-01 35369
2013-01-01 40019
2014-01-01 39019
2015-01-01 39043
2016-01-01 39751
2017-01-01 47595
2018-01-01 44034
2019-01-01 48329
2020-01-01 49478
2021-01-01 48825
2022-01-01 52144
2023-01-01 54170

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