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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tioga County, PA
Series ID MHICILBPA42117A052NCEN
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 20387
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23939
1994-01-01 .
1995-01-01 26310
1996-01-01 .
1997-01-01 28076
1998-01-01 29376
1999-01-01 29982
2000-01-01 31099
2001-01-01 30193
2002-01-01 30187
2003-01-01 31109
2004-01-01 31949
2005-01-01 33414
2006-01-01 33297
2007-01-01 36172
2008-01-01 36135
2009-01-01 36096
2010-01-01 38733
2011-01-01 39018
2012-01-01 41168
2013-01-01 43358
2014-01-01 44509
2015-01-01 45323
2016-01-01 45692
2017-01-01 43255
2018-01-01 45256
2019-01-01 48488
2020-01-01 44131
2021-01-01 51666
2022-01-01 56704

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