Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tompkins County, NY
Series ID MHICILBNY36109A052NCEN
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 1:12 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 26043
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30599
1994-01-01 .
1995-01-01 30840
1996-01-01 .
1997-01-01 33683
1998-01-01 35706
1999-01-01 34438
2000-01-01 35430
2001-01-01 34838
2002-01-01 34733
2003-01-01 35810
2004-01-01 36405
2005-01-01 38993
2006-01-01 42126
2007-01-01 41426
2008-01-01 45599
2009-01-01 42158
2010-01-01 47143
2011-01-01 46053
2012-01-01 46180
2013-01-01 45754
2014-01-01 47810
2015-01-01 52566
2016-01-01 52966
2017-01-01 52035
2018-01-01 53182
2019-01-01 54579
2020-01-01 58685
2021-01-01 60517
2022-01-01 66712

Subscribe to the FRED newsletter


Follow us

Back to Top