Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tompkins County, NY
Series ID MHICIUBNY36109A052NCEN
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 1:09 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 30415
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35008
1994-01-01 .
1995-01-01 37026
1996-01-01 .
1997-01-01 39943
1998-01-01 41871
1999-01-01 39552
2000-01-01 41412
2001-01-01 40260
2002-01-01 40138
2003-01-01 40835
2004-01-01 41543
2005-01-01 44994
2006-01-01 47018
2007-01-01 47333
2008-01-01 51475
2009-01-01 48913
2010-01-01 53169
2011-01-01 53225
2012-01-01 52138
2013-01-01 53160
2014-01-01 55950
2015-01-01 59112
2016-01-01 58590
2017-01-01 61043
2018-01-01 61584
2019-01-01 63773
2020-01-01 71931
2021-01-01 70287
2022-01-01 77338

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