Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Chautauqua County, NY
Series ID MHICILBNY36013A052NCEN
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 1:11 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 21908
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25286
1994-01-01 .
1995-01-01 26762
1996-01-01 .
1997-01-01 28202
1998-01-01 29189
1999-01-01 30501
2000-01-01 32090
2001-01-01 31328
2002-01-01 31383
2003-01-01 31958
2004-01-01 32671
2005-01-01 33813
2006-01-01 35598
2007-01-01 37246
2008-01-01 37766
2009-01-01 35679
2010-01-01 37887
2011-01-01 39537
2012-01-01 39745
2013-01-01 38554
2014-01-01 40080
2015-01-01 41587
2016-01-01 40179
2017-01-01 43523
2018-01-01 43556
2019-01-01 47695
2020-01-01 46448
2021-01-01 44828
2022-01-01 52473

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