Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Madison County, NC
Series ID MHICILBNC37115A052NCEN
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 16515
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20328
1994-01-01 .
1995-01-01 22757
1996-01-01 .
1997-01-01 24318
1998-01-01 26426
1999-01-01 28337
2000-01-01 29476
2001-01-01 28734
2002-01-01 28519
2003-01-01 29628
2004-01-01 30539
2005-01-01 30150
2006-01-01 32465
2007-01-01 34043
2008-01-01 34456
2009-01-01 32970
2010-01-01 32778
2011-01-01 33499
2012-01-01 34164
2013-01-01 33916
2014-01-01 34901
2015-01-01 35628
2016-01-01 36955
2017-01-01 37629
2018-01-01 40167
2019-01-01 45472
2020-01-01 41658
2021-01-01 46441
2022-01-01 48231

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