Concepts define various elements describing statistical data and their quality. In the SDMX framework, concepts used as dimensions combine to form the series key, a unique identifier for each series. And concepts used as attributes form the rest of the metadata table.
Global concepts should be used in multiple statistical domains wherever possible, to enhance possibilities of the exchange of data and metadata between organisations. Below, we present the concepts we use. A concept can be re-used across multiple dataflows. Within each agency, concepts are organised into Concept Schemes (h2
headings).
EconData (agency)
Under the SDMX standard, statistical data agencies can define and manage their own list of concepts and codelists. Please click on this paragraph to see concepts that we’ve defined in our agency.
SA Economic Data ECONDATA
read_registry("concept-scheme", id="ECONDATA")
- Series name
MNEMONIC
Time series mnemonic, an encoding of the time series name, usually an abbreviation. - Source ID
SOURCE_IDENTIFIER
Source ID/code. - Source Data Set
SOURCE_DATASET
Descriptor of the source data set. - Label
LABEL
Time series label. - Price concept
PRICE_CONCEPT
Price concept, either real/constant prices, or nominal/current prices. - Model
MODEL
Model underlying the production of the relevant data. - South African Provinces
PROVINCE
Provinces of South Africa - Financial Year Offset
FISCAL_OFFSET
Time interval between 1 January and the start of the financial year. (We use the beginning of the period as the timestamp for all our data.) - Measurement Start
YEAR_START
Fiscal or calendar year. - Organisation Type
ORG_TYPE
South African organisation types. - Root Mean Squared Error
RMSE
Root mean squared error. - Case Status
CASE_STATUS
Status of a case before the law. - District
DISTRICT
District. - Region
REGION
Regions. - Aggregation
AGGREGATION
Time series aggregation - Residency
RESIDENCY
Resident of state. - Period
TRANSFORMATION_PERIOD
Period of time transformation. - Mode of Transport
TRANSPORT_MODE
Mode of transport. - Insolvency Type
INSOLVENCY_TYPE
Insolvency type. - Origination
ORIGINATION
Origination of insolvencies - Legal Status
LEGAL_STATUS
Legal status of a person/entity. - Forecast date
FCAST_DATE
Date for which forecast was made. - Alternative forecast 1
OBS_ALT01
Alternative forecast observations. - Alternative forecast 1
OBS_ALT02
Alternative forecast observations. - Alternative forecast 1
OBS_ALT03
Alternative forecast observations. - Alternative forecast 1
OBS_ALT04
Alternative forecast observations. - Alternative forecast 1
OBS_ALT05
Alternative forecast observations.
Bank Capital Adequacy Reporting BA
read_registry("concept-scheme", id="BA")
- Bank
BANK
Bank operating in the Republic of South Africa - Category/Aggregation
AGG
BA form table/column - Line
LINE
BA form rows/lines (spans multiple tables)
COICOP
read_registry("concept-scheme", id="COICOP")
- COICOP 2-digit
COICOP_2
First 2 digits of the COICOP classification - COICOP 3-digit
COICOP_3
Third digit of the COICOP classification - COICOP 4-digit
COICOP_4
Fourth digit of the COICOP classification - COICOP 5-digit
COICOP_5
Fifth digit of the COICOP classification, making up the 5-digit level - Full COICOP 5-digit
COICOP
All four dimensions (five digits) represented in this codelist - COICOP 8-digit
COICOP_8
Three digits following the fifth digit of the COICOP classification, making up the 8-digit level - COICOP 12-digit
COICOP_12
Last 3 digits of the COICOP 12-digit classification
QLFS
read_registry("concept-scheme", id="QLFS")
- Province or District
AREA
- Labour Statistic
LABSTAT
- Grouping Category
CATEGORY
SARB QB
read_registry("concept-scheme", id="QB")
- Money and Banking
MONBANK
QB Money and Banking - External Economic Accounts
EXTERN
QB External Economic Accounts - General Economic Indicators
GENIND
QB General Economic Indicators - Capital Market
CAPMARK
QB Capital Market - Public Finance
PUBFIN
QB Public Finance - National Financial Accounts
FINACC
QB National Financial Accounts - National Accounts
NATLACC
QB National Accounts
ASISA
read_registry("concept-scheme", id="ASISA")
- Investment Fund Type
FUND_TYPE
Investment fund type (institutional vs retail). - Third Party Manager
THIRD_MANAGER
Third-Party company that manages the investment fund. - Fund asset class
ASSET
Granular asset class within an investment fund - Fund of Funds
FOF
Dummy variable: Is the fund a fund-of-funds? - Investment Fund Manager
MANAGER
Company that manages the investment fund. A.k.a. “Scheme” (with foreign funds). - Third Party?
THIRD_PARTY
Dummy variable: Is the fund managed by a third party company? - ASISA Fund Code
FUND
Internal EconData code, mostly based on the official ASISA fund codes - ASISA Sector Code
SECTOR
Official ASISA fund sector code
Statistics South Africa
read_registry("concept-scheme", id="STATSSA")
- CPI Basket
BASKET
Type of basket that the index deals with (e.g. expenditure segment, or geographical area) - Division
DIVISION
First level of hierarchy - Group
GROUP
Second level of hierarchy - Class
CLASS
Third level of hierarchy - Header 1
H01
- Header 2
H02
- Header 3
H03
- Header 4
H04
- Header 5
H05
- Header 6
H06
- Header 16
H16
- Header 17
H17
- Header 18
H18
- Header 23
H23
- Header 24
H24
- Header 25
H25
SDMX (agency)
Cross-domain Concepts
The official source of the SDMX Cross Domain Concept Scheme is presented in XML format or in HTML format. Please click on this paragraph to see the SDMX-agency concepts that we’ve copied onto our database.
You can query the latest version of our SDMX-agency concepts by running
read_registry("concept-scheme", id="CROSS_DOMAIN_CONCEPTS", agencyid="SDMX")
Each concept generally is either constant at the agency level, dataflow level, series level, or observation level, so we order the concepts further with these h3
headings, and order the more important concepts nearer to the top of the lists.
Global Concepts
- Statistical data and metadata exchange, SDMX
SDMX
Technical standard and content-oriented guidelines for the exchange and sharing of statistical information between organisations. - SDMX Information Model, SDMX-IM
SDMX_IM
Conceptual model for defining and describing the classes, attributes, and relationships of the SDMX standard. - Global registry
GLOBAL_REGISTRY
Central and discoverable repository for SDMX structural metadata. - Agency scheme
AGENCY_SCH
Maintained collection of maintenance agencies. - Maintenance agency
AGENCY
Organisation or other expert body responsible for the operational maintenance of commonly used metadata artefacts. - DSD for global use
DSD_GLOBAL
DSD agreed by a number of international organisations for use within their respective constituencies - Ownership group
OWNER_GRP
Set of organisations which collegially endorse the responsibility for the governance of an SDMX Data Structure Definition and its related artefacts.
Agency-level Concepts
- SDMX Registry
SDMX_REG
Repository for structural metadata and registered data sources whose interfaces and behaviour comply with the SDMX technical standards. - SDMX Technical Specification
SDMX_TECH_SPEC
Set of standards enabling interoperable implementations within and between systems concerned with the exchange, reporting and dissemination of statistical data and related metadata. - Concept scheme
CONCEPT_SCH
Set of concepts that are used in a data structure definition or metadata structure definition. - Concept
CONCEPT
Unit of thought created by a unique combination of characteristics. - Cross-domain concept, CDC
CDC
Standard concept, covering structural and reference metadata, which should be used in several statistical domains wherever possible to enhance possibilities of the exchange of data and metadata between organisations. - Dataflow
DATAFLOW
Structure which describes, categorises and constrains the allowable content of a data set that providers will supply for different reference periods. - Data set
DATA_SET
Organised collection of data defined by a Data Structure Definition (DSD). - Data consumer
DATA_CONSUM
Entity that uses data. - Data provider
DATA_PROVIDER
Organisation or individual that reports or disseminates data or reference metadata. - Data provider scheme
DATA_PROV_SCH
Maintained collection of data providers. - Release policy
REL_POLICY
Rules for disseminating statistical data to interested parties. - Release policy – transparency
REL_POL_TRA
Statement describing whether and how the release policy is disseminated to the public. - Release policy – user access
REL_POL_US_AC
Policy for release of the data to users, scope of dissemination (e.g. to the public, to selected users), how users are informed that the data are being released, and whether the policy determines the dissemination of statistical data to all users. - Release policy – release calendar
REL_CAL_POLICY
Schedule of statistical release dates. - Release policy – release calendar access
REL_CAL_ACCESS
Description of how the release calendar can be accessed. - Metadata repository
META_REPO
Place where logically organised statistical metadata are stored that allows for querying, editing and managing of metadata. - Metadataflow
METADATAFLOW
Collection of metadata concepts, structure and usage when used to collect or disseminate reference metadata. - Metadata set
META_SET
Organised collection of reference metadata. - Data presentation – detailed description
DATA_PRES
Detailed description of the disseminated data. - Code list
CODELIST
Predefined set of terms from which some statistical coded concepts take their values. - Cross-domain code list, CDCL
CDCL
SDMX code list meeting at least one of the criteria below:1) Potential application across all statistical domains; 2) Code list maintained by the SDMX Statistical Working Group (SWG) on its initiative; 3) Code list recommended as CDCL by the SDMX SWG although they are in principle maintained by third organisations. - Hierarchical code list
HIERARCHIC_CODE_LIST
Organised collection of codes that may be part of many parent/child relationships with other codes in the scheme, as defined by one or more hierarchies of the scheme. - Code
CODE
Language independent set of letters, numbers or symbols that represent a concept whose meaning is described in a natural language. - Hub (dissemination architecture)
HUB
Method of registering, querying, and disseminating data or reference metadata by means of a central, service-based platform (the hub). - Dissemination format
DISS_FORMAT
Media by which statistical data and metadata are disseminated. - Dissemination format – other formats
DISS_OTHER
References to the most important other data dissemination done. - Institutional mandate
INST_MANDATE
Set of rules or other formal set of instructions assigning responsibility as well as the authority to an organisation for the collection, processing, and dissemination of statistics. - Institutional mandate – legal acts and other agreements
INST_MAN_LA_OA
Legal acts or other formal or informal agreements that assign responsibility as well as the authority to an agency for the collection, processing, and dissemination of statistics. - Pull (reporting method)
PULL_METHOD
Data or reference metadata reporting method that requires the provider to make the information available at an accessible web location. - Push (reporting method)
PUSH_METHOD
Data or reference metadata reporting method that requires the provider to make the information available by means of transfer such as email or other electronic method. - Time format
TIME_FORMAT
Technical format for the representation of time. - Classification system
CLASS_SYSTEM
Arrangement or division of objects into groups based on characteristics which the objects have in common. - Professionalism
PROF
Standard, skill and ability suitable for producing statistics of good quality. - Professionalism – statistical commentary
PROF_STAT_COM
Elements providing assurances that the statistical entity is entitled to comment on erroneous interpretation and misuse of statistics. - Professionalism – code of conduct
PROF_COND
Provisions for assuring the qualifications of staff and allowing staff to perform their functions without intervention motivated by non-statistical objectives. - Annotation
ANNOTATION
Construct that contains user or organisation-specific metadata. - Item scheme
ITEM_SCH
Descriptive information for an arrangement or division of objects into groups based on characteristics which the objects have in common. - SDMX-JSON
SDMX_JSON
JSON format for the dissemination of SDMX-structured data and metadata on the web. - SDMX-ML
SDMX_ML
XML format for the exchange of SDMX-structured data and metadata. - Artefact
ARTEFACT
Abstract concept denoting an element in the SDMX model having specific characteristics which are inherited by other elements. - Nameable artefact
NAMEABLE_ART
Construct that contains structures capable of providing a name and a description to an object. - Identifiable artefact
IDENTIFIABLE_ART
Construct that contains structures capable of providing identity to an object. - Versionable artefact
VERSIONABLE_ART
Construct that contains structures capable of providing a version to an object. - Maintainable artefact
MAINTAINABLE_ART
Construct that contains structures capable of providing a maintenance agency to an object. - Annotable artefact
ANNOTABLE_ART
Construct capable of defining annotations - Reporting taxonomy
REP_TAXO
Scheme which defines the composition structure of a data report where each component can be described by an independent Dataflow Definition or Metadataflow Definition. - Organisation unit scheme
ORG_UNIT_SCH
Collection of organisation units. - Fast-track change
FAST_TRACK
Procedure followed to update at short notice an SDMX artefact, e.g. a code list. - Accounting conventions
ACC_CONV
Practical procedures, standards and other aspects used when compiling data from diverse sources under a common methodological framework. - Structure set
STRUCT_SET
Maintainable collection of Structure Maps that link components together in a source/target relationship where there is a semantic equivalence between the source and the target components. - Coding format
CODING_FORMAT
Specification of the representation for the codes in a code list.
Dataflow-level Concepts
- Data source
DATA_SOURCE
Location or service from where data or metadata can be obtained. - Category
CATEGORY
Structural metadata concept that classifies structural metadata objects. - Category scheme
CATEGORY_SCH
Descriptive information for a subdivision of categories into groups based on characteristics, which the objects have in common. - Version
VERSION
Construct that enables a system to distinguish between one state of an object and another where the contents of the object have changed. - Data structure definition, DSD
DSD
Set of structural metadata associated to a data set, which includes information about how concepts are associated with the measures, dimensions, and attributes of a data cube, along with information about the representation of data and related descriptive metadata. - Dimension
DIMENSION
Statistical concept used in combination with other statistical concepts to identify a statistical series or individual observations. - Attribute
ATTRIBUTE
Statistical concept providing qualitative information about a specific statistical object. - Statistical unit
STAT_UNIT
Entity for which information is sought and for which statistics are ultimately compiled. - Frequency of dissemination
FREQ_DISS
Time interval at which the statistics are disseminated over a given time period. - Frequency of data collection
FREQ_COLL
Time interval at which the source data are collected. - Data presentation – summary description
DATA_DESCR
Main characteristics of the data set described in an easily understandable manner, referring to the data and indicators disseminated. - Structural metadata
STRUCT_META
Metadata that identify and describe data and reference metadata. - Reference metadata
REF_METADATA
Metadata describing the contents and the quality of the statistical data. - Metadata structure definition, MSD
MSD
Specification of the allowed content of a metadata set in terms of attributes for which content is to be provided and to which type of object the metadata pertain. - Hierarchy
HIERARCHY
Classification structure arranged in levels of detail from the broadest to the most detailed level. Each level of the classification is defined in terms of the categories at the next lower level of the classification. - Compiling agency
COMPILING_ORG
Organisation collecting and/or elaborating the data being reported. - Reporting agency
REP_AGENCY
Organisation that supplies the data for a given instance of the statistics. - Statistical subject-matter domain
STAT_SUBJECT_MATTER
Statistical activity that has common characteristics with respect to concepts and methodologies for data collection, manipulation and transformation. - Source data type
SOURCE_TYPE
Characteristics and components of the raw statistical data used for compiling statistical aggregates. - Sibling group
SIBLING_GR
Set of time series whose keys differ only in the value taken by the frequency dimension. - Metadata update
META_UPDATE
Date on which the metadata element was created or modified. - Metadata update – last posted
META_POSTED
Date of the latest dissemination of the metadata. - Metadata update – last update
META_LAST_UPDATE
Date of last update of the content of the metadata. - Metadata update – last certified
META_CERTIFIED
Date of the latest certification provided by the domain manager to confirm that the metadata posted are still up-to-date, even if the content has not been amended. - Metadata completeness
METADATA_COMPLETE
Ratio of the number of metadata elements provided to the total number of metadata elements applicable. - Embargo time
EMBARGO_TIME
Exact time at which the data can be made available to the public. - Dissemination format – online database
ONLINE_DB
Information about on-line databases in which the disseminated data can be accessed. - Dissemination format – microdata access
MICRO_DAT_ACC
Information on whether micro-data are also disseminated. - Dissemination format – publications
PUBLICATIONS
Regular or ad-hoc publications in which the data are made available to the public. - Dissemination format – news release
NEWS_REL
Regular or ad-hoc press releases linked to the data. - Comment
COMMENT
Descriptive text which can be attached to data or metadata. - Data extraction date
DATA_EXTRACT_DATE
Date and time that the data are gathered from a data source. - Contact
CONTACT
Individual or organisational contact points for the data or metadata, including information on how to reach the contact points. - Contact organisation
CONTACT_ORGANISATION
Organisation of the contact point(s) for the data or metadata. - Contact organisation unit
ORGANISATION_UNIT
Addressable subdivision of an organisation. - Contact person function
CONTACT_FUNCT
Area of technical responsibility of the contact, such as “methodology”, “database management” or “dissemination”. - Contact name
CONTACT_NAME
Name of the contact points for the data or metadata. - Contact email address
CONTACT_EMAIL
E-mail address of the contact points for the data or metadata. - Contact phone number
CONTACT_PHONE
Telephone number of the contact points for the data or metadata. - Contact mail address
CONTACT_MAIL
Postal address of the contact points for the data or metadata. - Number of data table consultations
DATATABLE_CONSULT
Number of consultations of data tables within a statistical domain for a given time period. - Subscription
SUBSCRIPT
Indication that a person or application is to be notified when a predefined event occurs in an SDMX registry. - Timeliness
TIMELINESS
Length of time between data availability and the event or phenomenon they describe - Timeliness – source data
TIME_SOURCE
Time between the end of a reference period and actual receipt of the data by the compiling agency. - Time lag – first results
TIMELAG_FIRST
Number of days (or weeks or months) from the last day of the reference period to the day of publication of first results. - Time lag – final results
TIMELAG_FINAL
Number of days (or weeks or months) from the last day of the reference period to the day of publication of complete and final results. - Punctuality
PUNCTUALITY
Time lag between the actual delivery of the data and the target date when it should have been delivered. - Documentation on methodology
DOC_METHOD
Descriptive text and references to methodological documents available. - Professionalism – methodology
PROF_METH
Elements providing assurances that the choices of sources and statistical techniques as well as decisions about dissemination are informed solely by statistical considerations. - Facet
FACET
Format specification of a component’s content when reported in a data or metadata set. - Relevance
RELEVANCE
Degree to which statistical information meets the real or perceived needs of clients. - Relevance – user needs
USER_NEEDS
Description of requirements with respect to the statistical output. - Relevance – user satisfaction
USER_SAT
Description of how well the disseminated statistics meet the expressed user needs. - Relevance – completeness
COMPLETENESS
Extent to which all statistics that are needed are available. - Relevance – data completeness rate
COMPLETENESS_RATE
Ratio of the number of data cells provided to the number of data cells required or relevant. The ratio is computed for a chosen dataset and a given period. - Relevance – data completeness rate (for data users)
COMPLETENESS_RATE_U
Ratio of the number of data cells provided to the number of data cells required or relevant. The ratio is computed for a chosen dataset and a given period. - Relevance – data completeness rate (for data producers)
COMPLETENESS_RATE_P
Ratio of the number of data cells provided to the number of data cells required or relevant. The ratio is computed for a chosen dataset and a given period. - Data validation
DATA_VALIDATION
Process of monitoring the results of data compilation and ensuring the quality of the statistical results. - Validation and transformation language, VTL
VTL
Language used by statisticians to express logical validation rules and transformations on data, whether described as a dimensional table or as unit-record data. - Structural validation
STRUCT_VALIDATION
Process to determine the validity of data and reference metadata using structural metadata. - Quality management – quality documentation
QUALITY_DOC
Documentation on procedures applied for quality management and quality assessment. - Quality management – quality assurance
QUALITY_ASSURE
Guidelines focusing on quality in general and dealing with quality of statistical programmes, including measures for ensuring the efficient use of resources. - Quality management – quality assessment
QUALITY_ASSMNT
Overall evaluation of data quality, based on standard quality criteria. - Data revision – studies
REV_STUDY
Information about data revision studies and analyses. - Data revision
DATA_REV
Change in a value of a statistic released to the public. - Data revision – policy
REV_POLICY
Policy aimed at ensuring the transparency of disseminated data, whereby preliminary data are compiled that are later revised. - Data revision – practice
REV_PRACTICE
Information on the data revision practice. - Constraint
CONSTRAINT
Specification of a subset of the possible content of data or metadata that can be derived from the code lists used in a data or metadata structure. - Reporting category
REP_CATEGORY
Component of a reporting taxonomy that gives structure to a report and links to data and metadata. - Attribute relationship
ATTRIBUTE_REL
Specification of the type of artefact to which a data attribute can be attached in a data set. - Usage status
USAGE_STATUS
Indication of the dependency of the presence of a data or metadata attribute when reported in a Data or Metadata Set. - Coherence
COHERENCE
Adequacy of statistics to be reliably combined in different ways and for various uses. - Coherence – sub-annual and annual statistics
COHER_FREQSTAT
Extent to which statistics of different frequencies are reconcilable. - Coherence – internal
COHER_INTERNAL
Extent to which statistics are consistent within a given data set. - Coherence – National Accounts
COHER_NATACCOUNTS
Extent to which statistics are reconcilable with National Accounts. - Number of metadata consultations
METADATA_CONSULT
Number of metadata file consultations within a statistical domain for a given time period. - Accuracy – overall
ACCURACY_OVERALL
Assessment of accuracy, linked to a certain data set or domain, which is summarising the various components into one single measure. - Statistical concepts and definitions
STAT_CONC_DEF
Description of the statistical domain under measure as well as the main variables provided. - Confidentiality
CONF
Property of data indicating whether they are subject to dissemination restrictions. - Confidentiality – data treatment
CONF_DATA_TR
Rules applied for treating the data set to ensure that private information from individual units cannot be accessed and to prevent unauthorised disclosure. - Confidentiality – redistribution authorisation policy
CONF_REDIST
Secondary recipient(s) to whom the sender allows the primary recipient to forward restricted data. - Group key
GROUP_KEY
Set of key values that comprise a partial key. - Member selection
MEMBER_SEL
Set of permissible values for one component of a data or metadata structure. - Sector coverage
COVERAGE_SECTOR
Main economic or other sectors covered by the statistics. - Documentation on methodology – advance notice
ADV_NOTICE
Policy on notifying the public of changes in methodology, indicating whether the public is notified before a methodological change affects disseminated data and, if so, how long before. - Over-coverage rate
OVERCOVERAGE_RATE
Proportion of units accessible via the frame that do not belong to the target population (are out-of-scope). - Coverage error
COVERAGE_ERR
Error caused by a failure to cover adequately all components of the population being studied, which results in differences between the target population and the sampling frame. - Proportion of common units
COMMON_UNIT_SHARE
Proportion of units covered by both the survey and the administrative sources in relation to the total number of units in the survey. - Local DSD
DSD_LOCAL
DSD developed for the specific needs of one organisation only. - Cost and burden
COST_BURDEN
Cost associated with the collection and production of a statistical product, as well as the burden imposed on respondents. - Cost and burden – resources
COST_BURDEN_RES
Staff, facilities, computing resources, and financing to undertake statistical production. - Cost and burden – efficiency management
COST_BURDEN_EFF
Cost-benefit analysis, effectiveness of execution of medium term statistical programmes, and ensuring efficient use of resources. - Data collection method
COLL_METHOD
Method applied for gathering data for official statistics.
Series-level Concepts
- Level
LEVEL
Identifiable position to which codes in a scheme of codes are related. - Title
TITLE
Textual label used as identification of a statistical object. - Series key
SERIES_KEY
Cross product of values of dimensions, where either the cross product or the cross product combined with a time value, identifies uniquely an observation. - Group key
GROUP_KEY
Set of key values that comprise a partial key. - Frequency
FREQ
Time interval at which observations occur over a given time period. - Unit of measure
UNIT_MEASURE
Unit in which the data values are expressed. - Measure
MEASURE
Statistical concept for which data are provided in a data set. - Unit multiplier
UNIT_MULT
Exponent in base 10 specified so that multiplying the observation numeric values by 10^UNIT_MULT gives a value expressed in the unit of measure. - Representation
REPRESENT
Allowable value or format for component or concept when reported. - Seasonal adjustment
SEASONAL_ADJUST
Statistical technique used to remove the effects of seasonal and calendar influences operating on a data series. - Time transformation
TRANSFORMATION
Time-related operation performed on a time series, solely involving observations of that time series. - Time coverage
COVERAGE_TIME
Reference metadata element specifying the period of time for which data are provided. - Age
AGE
Length of time that an entity has lived or existed. - Sex
SEX
State of being male or female. - Base period
BASE_PER
Period of time used as the base of an index number, or to which a constant series refers. - Statistical indicator
INDICATOR
Data element that represents statistical data for a specified time, place, and other characteristics, and is corrected for at least one dimension (usually size) to allow for meaningful comparisons. - Statistical population
STAT_POP
Total membership or population or “universe” of a defined class of people, objects or events. - Statistical variable
VARIABLE
Characteristic of a unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assigned (e.g. income, age, weight, etc. and “occupation”, “industry”, “disease” etc.). - Reference area
REF_AREA
Country or geographic area to which the measured statistical phenomenon relates. - Counterpart reference area
COUNTERPART_AREA
Secondary area, as opposed to reference area, to which the measured data are in relation. - Hierarchical code
HIERARCHIC_CODE
Code reference that is part of a hierarchy. - Price adjustment
PRICE_ADJUST
Statistical technique used to remove the effects of price influences operating on a data series. - Adjustment
ADJUSTMENT
Set of procedures employed to modify statistical data to enable it to conform to national or international standards or to address data quality differences when compiling specific data sets. - Decimals
DECIMALS
Number of digits of an observation to the right of a decimal point. - Education level
EDUCATION_LEV
Highest level of an educational programme the person has successfully completed. - Imputation rate
IMPUTATION_RATE
Ratio of the number of replaced values to the total number of values for a given variable. - Metadata key set
META_KEY_SET
Set of metadata keys. - Currency
CURRENCY
Monetary denomination of the object being measured. - Expenditure according to purpose
EXPENDITURE
Breakdown of spending by institutional sectors between major expenditure functions. - Map
MAP
Correspondence between two or more objects. - Item non-response rate
ITEM_NONRESPONSE_RATE
Ratio between the in-scope (eligible) units which have not responded to a particular item and the in-scope units that are required to respond to that particular item. - Valuation
VALUATION
Definition of the price per unit, for goods and services flows and asset stocks. - Occupation
OCCUPATION
Job or position held by an individual who performs a set of tasks and duties. - Confidentiality – status
CONF_STATUS
Information about the confidentiality status of the object to which this attribute is attached. - Economic activity
ACTIVITY
Combination of actions that result in the production, distribution and consumption of goods or services. - Comparability
COMPARABILITY
Extent to which differences between statistics can be attributed to differences between the true values of the statistical characteristics. - Comparability – over time
COMPAR_TIME
Extent to which statistics are comparable or reconcilable over time. - Comparability – geographical
COMPAR_GEO
Extent to which statistics are comparable between geographical areas. - Data compilation
DATA_COMP
Operations performed on data to derive new information according to a given set of rules. - Accuracy
ACCURACY
Closeness of computations or estimates to the unknown exact or true values that the statistics were intended to measure. - Measurement error
MEASUREMENT_ERR
Error in reading, calculating or recording a numerical value. - Model assumption error
MODEL_ASSUMP_ERR
Error that occurs due the use of methods, such as calibration, generalised regression estimator, calculation based on full scope or constant scope, benchmarking, seasonal adjustment and other models not included in other accuracy components, in order to calculate statistics or indexes. - Processing error
PROCESSING_ERR
Error in final survey results arising from the faulty implementation of correctly planned implementation methods. - Base weight
BASE_WEIGHT
Weights of a weighting system for an index number computed according to the information relating to the base period instead, for example, of the current period. - International string
INTERNAT_STRING
Construct defining multi-lingual text for the same underlying concept. - Asymmetry for mirror flows statistics – coefficient
ASYMMETRY_COEFF
Difference or absolute difference of inbound and outbound flows between a pair of countries divided by the average of these two values.
Observation-level Concepts
- Observation value
OBS_VALUE
Value of a particular variable. - Time period
TIME_PERIOD
Timespan or point in time to which the observation actually refers. - Observation status
OBS_STATUS
Information on the quality of a value or an unusual or missing value. - Reference period
REF_PERIOD
Timespan or point in time to which the measured observation is intended to refer. - Time period – collection
TIME_PER_COLLECT
Dates or periods during which the observations have been collected (such as middle, average or end of period) for the target reference period. - Imputation
IMPUTATION
Procedure for entering a value for a specific data item where the response is missing or unusable. - Civil status
CIVIL_STATUS
Legal, conjugal status of each individual in relation to the marriage laws or customs of the country. - Observation pre-break value
PRE_BREAK_VALUE
Observation, at a time series break period, that was calculated using the old methodology. - Unit non-response rate
UNIT_NONRESPONSE_RATE
Ratio of the number of units with no information or not usable information to the total number of in-scope (eligible) units. - Non-response error
NONRESPONSE_ERR
Error that occurs when the survey fails to get a response to one, or possibly all, of the questions.
API
The API for this page is https://www.econdata.co.za/sdmx-codera/v1/conceptschemes (once you log in to EconData, the cookie will let this URL authenticate).