Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Nassau County, NY
Series ID MHICILBNY36059A052NCEN
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 47054
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 51706
1994-01-01 .
1995-01-01 55814
1996-01-01 .
1997-01-01 58441
1998-01-01 58429
1999-01-01 59853
2000-01-01 64147
2001-01-01 66353
2002-01-01 67270
2003-01-01 67312
2004-01-01 66851
2005-01-01 78098
2006-01-01 83580
2007-01-01 87427
2008-01-01 93142
2009-01-01 90180
2010-01-01 88185
2011-01-01 89756
2012-01-01 90524
2013-01-01 93361
2014-01-01 96214
2015-01-01 100333
2016-01-01 103801
2017-01-01 105124
2018-01-01 112902
2019-01-01 115342
2020-01-01 119245
2021-01-01 123023
2022-01-01 132164

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