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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tioga County, NY
Series ID MHICIUBNY36107A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:03 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 32584
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36732
1994-01-01 .
1995-01-01 38568
1996-01-01 .
1997-01-01 41550
1998-01-01 43159
1999-01-01 41796
2000-01-01 44620
2001-01-01 43745
2002-01-01 43496
2003-01-01 43777
2004-01-01 45138
2005-01-01 47902
2006-01-01 49498
2007-01-01 52436
2008-01-01 54552
2009-01-01 51942
2010-01-01 53271
2011-01-01 55113
2012-01-01 59783
2013-01-01 55124
2014-01-01 56507
2015-01-01 61337
2016-01-01 60010
2017-01-01 61371
2018-01-01 62922
2019-01-01 65705
2020-01-01 66307
2021-01-01 70979
2022-01-01 81222
2023-01-01 74819
2024-01-01 78403

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