Analysis system and analysis method

Abstract

To provide an analysis system and an analysis method capable of suitably analyzing movement in units of a plurality of persons.SOLUTION: An analysis system for analyzing population dynamics in a specific area includes an acquisition unit (controller 15) configured to acquire movement information (analysis data) on movement of each person in the specific area, and a processing unit (controller 15) configured to, when a plurality of persons who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition unit, classify the identified moving group into one of a plurality of predetermined types of moving group classifications (moving group household classifications T) based on a combination pattern (relationship pattern P) of the plurality of persons.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to a technology for an analysis system and an analysis method for analyzing demographic trends. [Background technology]

[0002] Conventionally, analysis systems and analysis methods for analyzing demographic trends have been publicly known, as described in Patent Document 1, for example.

[0003] The system described in Patent Document 1 can estimate (analyze) the population or population fluctuations of a specific area based on the number of communication terminals present in the area. It can also analyze the movement of people within the specific area by acquiring the registered details of the resident registration system for the specific area based on the provisions of the Basic Resident Register Act, for example, without relying on the number of communication terminals.

[0004] However, because the above-mentioned analyses are all conducted focusing on the movement of individuals, the results of the analysis may be insufficient. For example, because the choice of residence and area when moving is greatly influenced by the composition of the household moving together, it is desirable to analyze the movement of households (multiple people) in addition to analyzing the movement of individuals. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Re-tabled publication No. 2017-168651 Summary of the Invention [Problem to be solved by the invention]

[0006] The present invention has been made in consideration of the above-mentioned circumstances, and the problem that it aims to solve is to provide an analysis system and an analysis method that can suitably analyze the movements of multiple people. [Means for solving the problem]

[0007] The problem to be solved by the present invention is as described above, and the means for solving this problem will now be described.

[0008] That is, claim 1 provides an analysis system for analyzing demographic trends in a specific area, comprising: an acquisition unit that acquires movement information regarding the movement of each person within the specific area; and a processing unit that, when multiple people who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition unit, classifies the identified moving group into one of multiple predetermined types of moving group classifications based on the combination pattern of the multiple people.

[0009] In claim 2, the movement information includes information regarding the reason for movement, including moving in and moving out, the date of movement, and the household number, and the processing unit identifies the multiple people who have the same reason for movement, the date of movement, and the household number as the same movement group.

[0010] In claim 3, the movement information further includes information regarding the relationship to the head of household, and the processing unit identifies a combination pattern of the multiple people based on the relationship between the multiple people.

[0011] In claim 4, the information on the relationship corresponds to the registered contents of the resident record system of the specific area.

[0012] In claim 5, the movement information further includes information relating to age, and the processing unit associates the identified movement group with the age of a representative person among the plurality of people.

[0013] In claim 6, the device further comprises a display unit capable of displaying various information, and the display unit displays at least the number of individual movements, the number of movements of people not belonging to the movement group, and the number of movements of the movement group, each relating to movements in and out of the specific area.

[0014] Claim 7 provides an analysis method for analyzing demographic trends in a specific area by an analysis unit, wherein the analysis unit acquires movement information regarding the movement of each person within the specific area, and when multiple people who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition process, classifies the identified moving group into one of multiple predetermined types of moving group classifications based on the combination pattern of the multiple people. [Effects of the Invention]

[0015] The present invention has the following effects.

[0016] In the present invention, the movement of a group of multiple people can be analyzed favorably. [Brief explanation of the drawings]

[0017] [Figure 1] FIG. 1 is a block diagram illustrating an analysis system according to an embodiment of the present invention. [Figure 2] 10 is a flowchart showing processing (mobile flock analysis processing) for executing an analysis method according to one embodiment of the present invention. [Figure 3] FIG. 10 is a diagram showing an example of relationship patterns and classification of households in a migration group. [Figure 4] A diagram showing the specifications of the relationships registered in the Resident Records System (defined by the Resident Records System Standardization Specifications). [Figure 5] FIG. 5 is a diagram showing an example of the relationship rules (examples of relationships) registered in the resident records system based on the relationship specifications shown in FIG. 4. [Figure 6] (a) An illustration showing the moving flock analysis process. (b) An illustration showing a continuation of Figure 6(a). (c) An illustration showing a continuation of Figure 6(b). [Figure 7] (a) A continuation of Figure 6(c). (b) A continuation of Figure 7(a). [Figure 8] (a) Diagram showing the identification of relationship patterns (head of household, children, wife). (b) Diagram showing the identification of relationship patterns (mother, father). [Figure 9] A diagram showing the identification of relationship patterns (head of household, children, wife) and migration group household classifications (couple and child households), as well as the identification of relationship patterns (mother, father) and migration group household classifications (couple households). [Figure 10] FIG. 10 is a diagram showing an example of displaying increase / decrease data without classifying migrant groups. [Figure 11] FIG. 10 is a diagram showing a display example of increase / decrease data extracted from only single movements. [Figure 12] A diagram showing an example of increase / decrease data extracted from only the couple and children group. DETAILED DESCRIPTION OF THE INVENTION

[0018] An analysis system 1 and an analysis method according to a first embodiment of the present invention will be described below.

[0019] The analysis system 1 shown in FIG. 1 is a system for analyzing demographic trends in a specific area. More specifically, the analysis system 1 focuses on the movement of people (e.g., in-migration and out-migration) in the specific area, and analyzes not only the movement of individuals but also the movement of multiple people. The specific area may be any area where people move, such as a prefecture, city, ward, town, village, block, or district, and is not particularly limited. The analysis system 1 is operated, for example, by a public organization or a private company. The analysis system 1 includes a general computer. The analysis system 1 includes an input unit 11, a display unit 12, a communication unit 13, a memory unit 14, and a control unit 15.

[0020] The input unit 11 is used to input various types of information and is composed of a keyboard, a mouse, and the like.

[0021] The display unit 12 is for displaying various types of information and is configured by, for example, a liquid crystal display (screen).

[0022] The communication unit 13 is for communicating with devices external to the analysis system 1. The communication unit 13 can exchange information with external devices via various communication means such as the Internet.

[0023] The storage unit 14 is used to store various programs and information acquired via the input unit 11 and communication unit 13. The storage unit 14 is composed of RAM, ROM, etc. The various programs include a program related to processing for executing the analysis method according to the present invention (hereinafter referred to as "migration group analysis processing"). The storage unit 14 also stores information used in the migration group analysis processing (for example, relationship pattern P and migration group household classification T shown in FIG. 3). The relationship pattern P and migration group household classification T will be described in detail later.

[0024] The control unit 15 is for executing various programs. The control unit 15 is configured with a CPU, etc. The programs executed by the control unit 15 include the mobile flock analysis process described above.

[0025] The mobile flock analysis process executed by the analysis system 1 will be described below with reference to the flowchart shown in FIG. 2 and FIGS.

[0026] In step S11, a relationship pattern P and a migrant group household classification T are prepared in advance. Specifically, before the processing of step S12 and subsequent steps is executed, the control unit 15 acquires the relationship pattern P and the migrant group household classification T and stores them in the memory unit 14. The relationship pattern P and the migrant group household classification T are acquired at any timing before the processing of step S12 and subsequent steps is executed. The relationship pattern P and the migrant group household classification T are input (acquired) via the input unit 11 by a person in charge of a public organization or a private company, for example, or are acquired from an external device via the communication unit 13. The relationship pattern P and the migrant group household classification T will be described in detail below.

[0027] The relationship pattern P shown in FIG. 3 is a combination pattern of multiple people. More specifically, the relationship pattern P is a pattern created by combining relationships with the head of household (relations and relationships in terms of kinship and marriage) based on preset rules. The relationship specifications used in this embodiment correspond to the registered contents of a resident record system of, for example, a city, town, or village (specific area). The resident record system is a system that is introduced in, for example, a local government and manages basic items such as relationships as stipulated by the Basic Resident Register Act. The registered contents of the resident record system are stipulated by the Resident Record System Standardization Specifications. Here, FIG. 4 shows the specifications of the relationships registered in the resident record system (defined by the Resident Record System Standardization Specifications). In other words, the relationship specifications used in this embodiment conform to the relationship specifications shown in FIG. 4.

[0028] FIG. 5 shows an example of the relationship rules (examples of relationships) registered in the resident record system based on the relationship specifications shown in FIG. 4. FIG. 3 also shows an example of a relationship pattern P and a migrant household classification T. As shown in FIGS. 3 and 5, the relationship pattern P is determined based on the relationship between multiple people. The relationship pattern P does not necessarily include the head of household. Multiple types of relationship patterns P are established using content that conforms to the relationship specifications registered in the resident record system. For example, relationship patterns P may include "husband, head of household," "head of household, wife, child," "head of household, child," "head of household, wife, wife's mother, child," "head of household, younger brother," "head of household, wife, mother," and "cohabitant, child," as shown in the bold dashed line frame in FIG. 3.

[0029] The migrant group household classification T shown in Figure 3 is used to label migrant groups. Before explaining the migrant group household classification T, we will first explain migrant groups.

[0030] A moving group is a group of multiple people who move together when certain conditions are met and are considered to be a single group. That is, since a moving person may be part of an original household or a new household before or after the move, a unit in which multiple people move simultaneously (moving in or out) as if they were a single group, such as when a family moves, is extracted and recognized as a "group." In this embodiment, as described below, multiple people with the same reason for moving (moving in or out), date of move, and household number are considered to belong to the same group. That is, if the reason for move, date of move, and household number are the same, it is determined that the predetermined conditions are met. In this embodiment, the classification expression for units that appear to be the same group is called a "moving group." Thus, for example, the same household (multiple people) who move together belong to the same moving group.

[0031] As shown in Fig. 3, there are seven types of migration group household classifications T according to this embodiment. Specifically, there are seven types of migration group household classifications T: "couple household," "couple and child household," "single-parent household," "three-generation household," "sibling household," "parent (single) and couple household," and "other."

[0032] As shown in Figure 3, each of the seven types of migrant group household classifications T has a predetermined relationship pattern P to which it is linked. For example, as shown by the thick dashed frame in Figure 3, migrant group household classification T "married couple household" is linked to relationship pattern P "husband, head of household." Migrant group household classification T "married couple and child household" is linked to relationship pattern P "head of household, wife, children." Migrant group household classification T "single-parent household" is linked to relationship pattern P "head of household, children." Migrant group household classification T "three-generation household" is linked to relationship pattern P "head of household, wife, wife's mother, children." Migrant group household classification T "sibling household" is linked to relationship pattern P "head of household, younger brother." Migrant group household classification T "parent (single) and married couple household" is linked to relationship pattern P "head of household, wife, mother." In addition, the mobile household classification T "Other" is linked to the relationship pattern P "Cohabitants, children."

[0033] After the process of step S11, the control unit 15 proceeds to the process of step S12.

[0034] In step S12, the control unit 15 acquires data (hereinafter referred to as "analysis data") for analyzing demographic trends from a predetermined data provider. Here, the analysis data is, for example, data related to matters notified to a public body pursuant to the provisions of the Basic Resident Register Act. In other words, the analysis data is data corresponding to each individual, and includes the registration details of the resident record system. Specifically, the analysis data includes, for example, gender, age, relationship, household number (a number assigned to each household), date of transfer (date of moving in or out), reason for transfer (moving in or out), new address, and old address.

[0035] The analysis data is, for example, input (acquired) by the person in charge via the input unit 11, or acquired from an external device via the communication unit 13. The control unit 15 stores the acquired analysis data in the memory unit 14. When the control unit 15 acquires multiple analysis data, it extracts data from the acquired data that have the same reason for transfer, transfer date, and household number.

[0036] 6 and 7 are conceptual diagrams showing the processing from S12 to S17. In FIG. 6(a), it is assumed that the control unit 15 has acquired six pieces of analysis data in the processing of step S12. For ease of explanation, the six pieces of analysis data may be referred to as the first to sixth pieces of analysis data, in order from the top of the page in FIG. 6. The reason for the change, the date of the change, and the household number of each piece of analysis data are indicated by the attached symbols (a to c).

[0037] In the case shown in Figure 6(a), the first to third pieces of analysis data from the top have the same reason for transfer, date of transfer, and household number, so the control unit 15 extracts these pieces of analysis data. Also, the fourth and fifth pieces of analysis data from the top have the same reason for transfer, date of transfer, and household number, so the control unit 15 extracts these pieces of analysis data. In contrast, the sixth piece of analysis data from the top has the same reason for transfer, date of transfer, and household number, so the control unit 15 does not extract this analysis data. After processing step S12, the control unit 15 proceeds to processing step S13.

[0038] Since the reasons for transfer, etc. of the first to third analytical data from the top are all the same, the control unit 15 determines (regards) the three (multiple) people related to these data as belonging to the same group. That is, the control unit 15 determines that these three people belong to the same moving group. Furthermore, since the reasons for transfer, etc. of the third and fourth analytical data from the top are all the same, the control unit 15 determines that the two people related to these data belong to the same group. That is, the control unit 15 determines that these two people belong to the same moving group.

[0039] In step S13, the control unit 15 issues codes to the extracted multiple identical extracted data to distinguish them from one another. For example, in FIG. 6(b), codes (A to E) are issued to the first to fifth analytical data from the top. Next, the control unit 15 assigns a migration group number to each migration group to distinguish it from other migration groups. For example, in FIG. 6(b), a migration group number (α) is assigned to the migration group related to the first to third analytical data from the top. Furthermore, a migration group number (β) is assigned to the migration group related to the fourth and fifth analytical data from the top. After processing step S13, the control unit 15 proceeds to processing step S14.

[0040] In step S14, the control unit 15 extracts relationship patterns belonging to the same travel group number. For example, in FIG. 6(c), the control unit 15 refers to the analysis data A to C of travel group α and extracts a relationship pattern P (hereinafter referred to as "relationship pattern P1") consisting of these relationships (head of household, child, wife) (see FIGS. 8(a) and 9). Also, in FIG. 6(c), for example, the control unit 15 refers to the analysis data D and E of travel group β and extracts a relationship pattern P (hereinafter referred to as "relationship pattern P2") consisting of these relationships (mother, father) (see FIGS. 8(b) and 9). After processing step S14, the control unit 15 proceeds to processing step S15.

[0041] In step S15, the control unit 15 links and labels each relationship pattern P extracted in step S14 with the migration group household classification T. For example, in Figures 7(a) and 9, the migration group household classification T (hereinafter referred to as "migration group household classification T1", specifically "married couple and child households") corresponding to the relationship pattern P1 is linked, and the migration group α related to the relationship pattern P1 is categorized. Also, in Figures 7(a) and 9, for example, the migration group household classification T (hereinafter referred to as "migration group household classification T2", specifically "married couple households") corresponding to the relationship pattern P2 is linked, and the migration group β related to the relationship pattern P2 is categorized. After processing step S15, the control unit 15 proceeds to processing step S16.

[0042] In step S16, the control unit 15 extracts the age of the head of household in each migration group (migration group number). Furthermore, if there is no head of household in the migration group, the control unit 15 extracts the highest age in each migration group (migration group number). For example, in Figure 7(b), since there is a head of household in migration group α, the control unit 15 extracts the age of the head of household (60 years old). Furthermore, since there is no head of household in migration group β, the control unit 15 extracts the highest age of the mother (82 years old). After processing step S16, the control unit 15 proceeds to processing step S17.

[0043] In step S17, the control unit 15 links the age extracted in step S16 to each travel group as the travel group age. For example, in FIG. 7(b), the control unit 15 links the age (60 years old) to travel group α as the travel group age. Furthermore, the control unit 15 links the age (82 years old) to travel group β as the travel group age. After the processing of step S17, the control unit 15 ends the travel group analysis processing.

[0044] In this way, when the mobile group analysis process is completed, the control unit 15 can focus on the movement of multiple people (mobile groups) and acquire data on the classification of mobile groups that have moved in or out, and the ages of the mobile groups (mobile group ages) (i.e., data on movements by mobile group).

[0045] The control unit 15 can acquire data on the movement of individuals, focusing not only on the movement of groups but also on the movement of individuals. The control unit 15 can also acquire data on the movement of individuals who do not belong to a group (hereinafter sometimes referred to as "solo movement") (in-migration or out-migration caused by the movement of only one person), based on the data on the movement of groups and the data on the movement of individuals. Hereinafter, this data acquired by the control unit 15 may be referred to as "increase / decrease data." The control unit 15 can display the increase / decrease data on the display unit 12.

[0046] Below, examples of displaying increase / decrease data will be described with reference to FIGS.

[0047] Figures 10 to 12 show population increase / decrease data for A1 City, Prefecture A, a local government in the Hokuriku region, as an example of a specific region for which demographic analysis is performed. In addition to A1 City, Prefecture A also includes A2 City, A3 City, A4 City, A5 City, and A6 City. Figures 10 and other figures also list B Prefecture and C Prefecture as neighboring prefectures, as well as areas surrounding major cities other than Prefecture A, such as Areas D, C, and F. In Figures 10 to 12, bar graphs showing various information are plotted with zero as the base, with the upper (plus) side of the vertical axis representing in-migration figures and the lower (minus) side representing out-migration figures. The difference between the in-migration and out-migration figures is indicated by a circle on the bar graph. The ages shown in Figures 10 to 12 refer to the ages of individuals in Figures 10 and 11, and to the age of the migrant group belonging to married couple and child households in Figure 12. 10 to 12 are displayed on the display unit 12 in a switchable manner by, for example, an input operation on the input unit 11.

[0048] FIG. 10 shows an example of displaying increase / decrease data without classification of travel groups (that is, data relating to travel on an individual basis).

[0049] In the display example shown in Figure 10, data is categorized by gender, age, relationship, household number, date of move, reason for move, new address, and old address without categorizing migration groups. This makes it possible to grasp, at a resolution of prefectures or Prefecture A, what ages and genders people are moving out to and from.

[0050] Figure 11 shows an example of displaying increase / decrease data extracted from solo travel. As mentioned above, solo travel is travel by a single person who does not belong to a group, but to differentiate from the above-mentioned individual-based travel, groups may also be used as the unit.

[0051] In the example shown in Figure 11, for single-person migration, the number of in-migrations was 978 and the number of out-migrations was 1,406, resulting in a net out-migration of 428. Furthermore, when broken down by five-year age group, there was a net out-migration for the majority of people aged 15 to 40. Although not shown in the figure, further breaking down the data by gender would allow us to determine, for example, the age at which the net out-migration peaks by gender. Furthermore, when broken down by prefecture and region, both in-migration and out-migration are concentrated in the Hokuriku area, with much more movement (transfers) within Prefecture A than in Prefectures C and B. Furthermore, within Prefecture A, there was a large amount of movement between C2, A5, A4, A3, and A6, with these also showing a net out-migration.

[0052] Figure 12 shows an example of the display of increase / decrease data extracted from the migration group household classification T, which is only for the migration group belonging to married couple and children households (i.e., in-migration or out-migration using the migration group belonging to married couple and children households as a unit).

[0053] In the example shown in Figure 12, the migration groups belonging to married couple and child households are overwhelmingly fewer in number than those migrating alone, but there are 54 groups with 42 groups with 12 groups showing net in-migration. Furthermore, looking at the migration groups by five-year age bracket, there is a net in-migration for the 25-49 age group, with the peak age being 30-34. Furthermore, looking at the migration groups by prefecture and region, both in-migration and out-migration are concentrated in the Hokuriku region, with significantly more migration (relocation) within Prefecture A compared to Prefectures C and B. This trend is also noticeable (the difference is large) when compared to the single-person migration shown in Figure 11. Furthermore, within Prefecture A, migration is prominent in Cities A2 and A5, with A5 showing a net in-migration.

[0054] Thus, according to the increase / decrease data shown in Figure 10 without classification of migrant groups (i.e., data on individual migration), it can be seen that in City A1, there is a gradual net outflow by age group overall, with large movements to City A2 and City A5. In contrast, according to the increase / decrease data shown in Figure 12, which extracts only the migrant group belonging to married couples and children households, it can be seen that in City A1, there is a net inflow among the child-rearing generation (e.g., 25-49 years old), with particularly large movements from City A5. Furthermore, by comparing Figures 11 and 12, it can be seen that migration out of Prefecture A is mainly among young people moving alone.

[0055] That is, in the analysis system 1, the increase / decrease data can be displayed on the display unit 12, and the number of movements of an individual, the number of movements of people not belonging to a movement group, and the number of movements of a movement group can be compared. This allows for effective analysis of each movement (for example, movement of a group of multiple people) by comparing it with other movements.

[0056] Such analysis is important when considering initiatives related to the regeneration of housing estates, for example.

[0057] In other words, the approximately 3,000 housing estates across all prefectures were supplied in large quantities at the same time, and because they were occupied by people of the same generation, many of them are experiencing a rapid aging of the population and an increase in vacant homes. Many problems arise in these housing estates, including a lack of convenient facilities and transportation access, a decline in community vitality, social isolation, and mismatched housing. Furthermore, if a housing estate does not have a population of a certain size or larger, it becomes difficult to receive government support, which reduces its marketability and leads to further inconvenience, resulting in a negative spiral that contributes to a decline in the housing estate's population.

[0058] In contrast, the analysis system 1 and analysis method according to this embodiment can suitably perform analysis on a group of people, which has a large influence on the choice of residence and area when moving, for example. Therefore, compared to analyzing only the movements of individuals, it is possible to perform a higher-resolution analysis of social changes that can reduce the number of people moving out of a housing complex and increase the number of people moving into the housing complex, ultimately leading to the revitalization of the housing complex.

[0059] As described above, the analysis system 1 according to one embodiment of the present invention includes: An analysis system for analyzing demographic trends in a specific area, an acquisition unit (control unit 15) that acquires movement information (analysis data) regarding the movement of each person within the specific area; a processing unit (control unit 15) that, when a plurality of people who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition unit, classifies the identified moving group into one of a plurality of predetermined types of moving group classifications (moving group household classifications T) based on a combination pattern (relationship pattern P) of the plurality of people; It is equipped with the following.

[0060] Furthermore, an analysis method according to one embodiment of the present invention includes: An analysis method for analyzing demographic trends in a specific area by an analysis unit (control unit 15), The analysis unit Acquire movement information (analysis data) regarding the movement of each person within the specific area; When multiple people who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition process, the identified moving group is classified into one of multiple predetermined types of moving group classifications (moving group household classifications T) based on the combination pattern of the multiple people (relationship pattern P).

[0061] With this configuration, it is possible to suitably analyze the movements of multiple people.

[0062] In addition, in the analysis system 1 according to one embodiment of the present invention, The movement information (analysis data) includes: It includes information on the reason for moving (reason for moving), including moving in and out, the date of moving (date of transfer), and household number. The processing unit (control unit 15) The plurality of people who have the same reason for moving, the same date of moving, and the same household number are identified as the same moving group.

[0063] With this configuration, it is possible to suitably analyze the movements of multiple people using information that is relatively easily available.

[0064] In addition, in the analysis system 1, The movement information (analysis data) includes: It also includes information about the relationship to the head of the household, The processing unit (control unit 15) A combination pattern (relationship pattern P) of the plurality of people is identified based on the relationship between the plurality of people.

[0065] With this configuration, it is possible to identify a moving group by taking into consideration households that are likely to influence the choice of residence and area when moving, for example.

[0066] In addition, in the analysis system 1, The relationship information corresponds to the registered contents of the resident record system of the specific area.

[0067] With this configuration, it is possible to suitably analyze the movements of multiple people using relatively easily available and accurate information.

[0068] In addition, in the analysis system 1, The movement information (analysis data) includes: It also includes information about age, The processing unit (control unit 15) The age of a representative person among the multiple people (the age of the head of household, or the oldest age in the migrant group if there is no head of household) is linked to the identified migrant group.

[0069] With this configuration, it is possible to grasp the age trends of multiple people belonging to a moving group in relation to the movement of the moving group, and to suitably analyze the movement of multiple people.

[0070] In addition, in the analysis system 1, Further provided with a display unit 12 capable of displaying various information, The display unit 12 includes: At least the number of individual movements, the number of movements of people not belonging to the moving group, and the number of movements of the moving group are displayed for each of the in-migration and out-migration to the specific area.

[0071] With this configuration, the number of individual movements, the number of movements of people not belonging to a movement group, and the number of movements of a movement group can be displayed, and by comparing these, it is possible to suitably analyze the movements of multiple people.

[0072] Although the embodiment of the present invention has been described above, the present invention is not limited to the above configuration, and various modifications are possible within the scope of the invention described in the claims.

[0073] For example, the relationship pattern P and the migration group household classification T according to this embodiment are merely examples and are not limited to these. Furthermore, the relationship specifications may conform to specifications different from those registered in the resident record system.

[0074] 10 to 12 are merely examples of the display on the display unit 12, and are not limited to these. For example, an icon for switching the display may be displayed on the screen in addition to the analysis results, and the display on the display unit 12 may be switched by operating (clicking) this icon. [Explanation of symbols]

[0075] 1. Analysis System 15 Control Unit P Relationship pattern T Migration Group Household Classification

Claims

1. An analysis system for analyzing demographic trends in a specific area, an acquisition unit that acquires movement information regarding the movement of each person within the specific area; a processing unit that, when a plurality of people who have moved are identified as a moving group belonging to the same group based on the movement information acquired by the acquisition unit, classifies the identified moving group into one of a plurality of predetermined moving group classifications based on a combination pattern of the plurality of people; Equipped with Analysis system.

2. The movement information includes: It includes information on the reason for moving, including moving in and out, the date of the move, and the household number. The processing unit Identifying the plurality of people who have the same reason for moving, the same date of moving, and the same household number as the same moving group; The analytical system of claim 1 .

3. The movement information includes: It also includes information about the relationship to the head of the household, The processing unit identifying a combination pattern of the plurality of people based on the relationship between the plurality of people; The analytical system according to claim 2 .

4. The relationship information corresponds to the registered contents of the resident record system of the specific area. The analysis system according to claim 3 .

5. The movement information includes: It also includes information about age, The processing unit linking the age of a representative person among the plurality of people to the identified traveling group; The analysis system according to claim 4 .

6. Further comprising a display unit capable of displaying various information, The display unit Displaying the number of individual movements, the number of movements of people not belonging to the movement group, and the number of movements of the movement group, at least with respect to each of in-migration and out-migration to the specific area; The analysis system according to any one of claims 1 to 5.

7. An analysis method for analyzing demographic trends in a specific area by an analysis unit, comprising: The analysis unit acquiring movement information regarding the movement of each person within the specific area; When a plurality of people who have moved are identified as a moving group belonging to the same group based on the movement information acquired in the acquisition step, the identified moving group is classified into one of a plurality of predetermined moving group classifications based on a combination pattern of the plurality of people. Analysis method.

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