Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chenango County, NY
Series ID MHICILBNY36017A052NCEN
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 1:54 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 22699
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26364
1994-01-01 .
1995-01-01 26740
1996-01-01 .
1997-01-01 28648
1998-01-01 29757
1999-01-01 30871
2000-01-01 32064
2001-01-01 31688
2002-01-01 32017
2003-01-01 32947
2004-01-01 34276
2005-01-01 36312
2006-01-01 37178
2007-01-01 40569
2008-01-01 38716
2009-01-01 39628
2010-01-01 39478
2011-01-01 38547
2012-01-01 39629
2013-01-01 41208
2014-01-01 43907
2015-01-01 46758
2016-01-01 42112
2017-01-01 44940
2018-01-01 46472
2019-01-01 48600
2020-01-01 47113
2021-01-01 54419
2022-01-01 56003

Subscribe to the FRED newsletter


Follow us

Back to Top