Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ward County, ND
Series ID MHICILBND38101A052NCEN
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 1:54 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 23212
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25923
1994-01-01 .
1995-01-01 27808
1996-01-01 .
1997-01-01 30226
1998-01-01 31346
1999-01-01 32114
2000-01-01 33532
2001-01-01 33350
2002-01-01 34137
2003-01-01 36104
2004-01-01 37445
2005-01-01 39289
2006-01-01 40174
2007-01-01 42476
2008-01-01 42857
2009-01-01 48044
2010-01-01 43417
2011-01-01 49740
2012-01-01 54140
2013-01-01 51981
2014-01-01 58538
2015-01-01 56805
2016-01-01 56930
2017-01-01 58908
2018-01-01 59978
2019-01-01 64078
2020-01-01 56696
2021-01-01 66447
2022-01-01 66686

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