Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Cattaraugus County, NY
Series ID MHICILBNY36009A052NCEN
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 21902
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24903
1994-01-01 .
1995-01-01 26587
1996-01-01 .
1997-01-01 28452
1998-01-01 29175
1999-01-01 30782
2000-01-01 32298
2001-01-01 31330
2002-01-01 31480
2003-01-01 32854
2004-01-01 34024
2005-01-01 35513
2006-01-01 36598
2007-01-01 39114
2008-01-01 40171
2009-01-01 36906
2010-01-01 39508
2011-01-01 37238
2012-01-01 40558
2013-01-01 38549
2014-01-01 41239
2015-01-01 38656
2016-01-01 43314
2017-01-01 44986
2018-01-01 45370
2019-01-01 48413
2020-01-01 46527
2021-01-01 50643
2022-01-01 48374

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