Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Orleans County, NY
Series ID MHICIUBNY36073A052NCEN
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 3:12 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 29633
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33906
1994-01-01 .
1995-01-01 36650
1996-01-01 .
1997-01-01 38034
1998-01-01 39629
1999-01-01 38758
2000-01-01 41283
2001-01-01 39743
2002-01-01 39234
2003-01-01 39421
2004-01-01 40990
2005-01-01 43703
2006-01-01 48919
2007-01-01 45844
2008-01-01 49303
2009-01-01 47075
2010-01-01 48369
2011-01-01 46662
2012-01-01 48567
2013-01-01 47777
2014-01-01 50471
2015-01-01 51793
2016-01-01 54087
2017-01-01 53149
2018-01-01 55617
2019-01-01 57784
2020-01-01 64695
2021-01-01 62256
2022-01-01 68164
2023-01-01 70943

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