Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Chemung County, NY
Series ID MHICIUBNY36015A052NCEN
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 28633
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31568
1994-01-01 .
1995-01-01 34647
1996-01-01 .
1997-01-01 37057
1998-01-01 38127
1999-01-01 37570
2000-01-01 40082
2001-01-01 38629
2002-01-01 38433
2003-01-01 38619
2004-01-01 39667
2005-01-01 40369
2006-01-01 41779
2007-01-01 43783
2008-01-01 44222
2009-01-01 46087
2010-01-01 48511
2011-01-01 50782
2012-01-01 48635
2013-01-01 48275
2014-01-01 51825
2015-01-01 54182
2016-01-01 53140
2017-01-01 54165
2018-01-01 55674
2019-01-01 62332
2020-01-01 60160
2021-01-01 63210
2022-01-01 59838

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