Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chemung County, NY
Series ID MHICILBNY36015A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 24329
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27199
1994-01-01 .
1995-01-01 28505
1996-01-01 .
1997-01-01 30902
1998-01-01 32058
1999-01-01 33015
2000-01-01 34542
2001-01-01 33666
2002-01-01 33457
2003-01-01 33972
2004-01-01 34889
2005-01-01 35648
2006-01-01 38078
2007-01-01 38000
2008-01-01 39596
2009-01-01 40359
2010-01-01 43749
2011-01-01 45206
2012-01-01 41751
2013-01-01 42399
2014-01-01 45935
2015-01-01 48388
2016-01-01 48304
2017-01-01 46959
2018-01-01 49456
2019-01-01 54468
2020-01-01 49250
2021-01-01 55100
2022-01-01 53490
2023-01-01 56391

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